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Letteratura scientifica selezionata sul tema "One-class"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 4 maggio 2024

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Articoli di riviste sul tema "One-class"

Levchuk, V. N. "On One Class of Non-Dissipative Operators". Zurnal matematiceskoj fiziki, analiza, geometrii 13, n. 2 (25 giugno 2017): 173–94. http://dx.doi.org/10.15407/mag13.02.173.

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Nohel, John A. "A class of one-dimensional degenerate parabolic equations". Časopis pro pěstování matematiky 111, n. 3 (1986): 294–303. http://dx.doi.org/10.21136/cpm.1986.108153.

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Hoffman, D. G., e C. A. Rodger. "Class one graphs". Journal of Combinatorial Theory, Series B 44, n. 3 (giugno 1988): 372–76. http://dx.doi.org/10.1016/0095-8956(88)90046-9.

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Brereton, Richard G. "One-class classifiers". Journal of Chemometrics 25, n. 5 (maggio 2011): 225–46. http://dx.doi.org/10.1002/cem.1397.

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Deng, Xueqing, Wenkai Li, Xiaoping Liu, Qinghua Guo e Shawn Newsam. "One-class remote sensing classification: one-class vs. binary classifiers". International Journal of Remote Sensing 39, n. 6 (3 gennaio 2018): 1890–910. http://dx.doi.org/10.1080/01431161.2017.1416697.

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Shcherbakov, E. A., e I. A. Avdeyev. "ON THE COMPACTNESS OF ONE CLASS OF QUASICONFORMAL MAPPINGS". Issues of Analysis 26, n. 3 (novembre 2019): 147–51. http://dx.doi.org/10.15393/j3.art.2019.6670.

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Younghwan Kim, Younghwan Kim, e Huy Kang Kim Younghwan Kim. "Cluster-based Deep One-Class Classification Model for Anomaly Detection". 網際網路技術學刊 22, n. 4 (luglio 2021): 903–11. http://dx.doi.org/10.53106/160792642021072204017.

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Lee, Gyemin. "Creating Level Set Trees Using One-Class Support Vector Machines". Journal of KIISE 42, n. 1 (15 gennaio 2015): 86–92. http://dx.doi.org/10.5626/jok.2015.42.1.86.

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Minassian, D. P. "Baire Class One: 10999". American Mathematical Monthly 112, n. 2 (1 febbraio 2005): 181. http://dx.doi.org/10.2307/30037425.

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Wang, Defeng, Daniel S. Yeung e Eric C. C. Tsang. "Structured One-Class Classification". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 36, n. 6 (dicembre 2006): 1283–95. http://dx.doi.org/10.1109/tsmcb.2006.876189.

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Tesi sul tema "One-class"

Barnabé-Lortie, Vincent. "Active Learning for One-class Classification". Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33001.

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Active learning is a common solution for reducing labeling costs and maximizing the impact of human labeling efforts in binary and multi-class classification settings. However, when we are faced with extreme levels of class imbalance, a situation in which it is not safe to assume that we have a representative sample of the minority class, it has been shown effective to replace the binary classifiers with a one-class classifiers. In such a setting, traditional active learning methods, and many previously proposed in the literature for one-class classifiers, prove to be inappropriate, as they rely on assumptions about the data that no longer stand. In this thesis, we propose a novel approach to active learning designed for one-class classification. The proposed method does not rely on many of the inappropriate assumptions of its predecessors and leads to more robust classification performance. The gist of this method consists of labeling, in priority, the instances considered to fit the learned class the least by previous iterations of a one-class classification model. Throughout the thesis, we provide evidence for the merits of our method, then deepen our understanding of these merits by exploring the properties of the method that allow it to outperform the alternatives.

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Fortunato, Francesca <1990&gt. "High-dimensional and one-class classification". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8412/1/ThesisMain.pdf.

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When dealing with high-dimensional data and, in particular, when the number of attributes p is large comparatively to the sample size n, several classification methods cannot be applied. Fisher's linear discriminant rule or the quadratic discriminant one are unfeasible, as the inverse of the involved covariance matrices cannot be computed. A recent approach to overcome this problem is based on Random Projections (RPs), which have emerged as a powerful method for dimensionality reduction. In 2017, Cannings and Samworth introduced the RP method in the ensemble context to extend to the high-dimensional domain classification methods originally designed for low-dimensional data. Although the RP ensemble classifier allows improving classification accuracy, it may still include redundant information. Moreover, differently from other ensemble classifiers (e.g. Random Forest), it does not provide any insight on the actual classification importance of the input features. To account for these aspects, in the first part of this thesis, we investigate two new directions of the RP ensemble classifier. Firstly, combining the original idea of using the Multiplicative Binomial distribution as the reference model to describe and predict the ensemble accuracy and an important result on such distribution, we introduce a stepwise strategy for post-pruning (called Ensemble Selection Algorithm). Secondly, we propose a criterion (called Variable Importance in Projection) that uses the feature coefficients in the best discriminant projections to measure the variable importance in classification. In the second part, we faced the new challenges posed by the high-dimensional data in a recently emerging classification context: one-class classification. This is a special classification task, where only one class is fully known (the target class), while the information on the others is completely missing. In particular, we address this task by using Gini's transvariation probability as a measure of typicality, aimed at identifying the best boundary around the target class.

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Haskey, Stephen. "A modified One-Class-One-Network ANN architecture for dynamic phoneme adaptation". Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/12099.

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As computers begin to pervade aspects of our everyday lives, so the problem of communication from man-to-machine becomes increasingly evident. In recent years, there has been a concerted interest in speech recognition offering a user to communicate freely with a machine. However, this deceptively simple means for exchanging information is in fact extremely complex. A single utterance can contain a wealth of varied information concerning the speaker's gender, age, dialect and mood. Numerous subtle differences such as intonation, rhythm and stress further add to the complexity, increasing the variability between inter- and intra-speaker utterances. These differences pose an enormous problem, especially for a multi-user system since it is impractical to train for every variation of every utterance from every speaker. Consequently adaptation is of great importance, allowing a system with limited knowledge to dynamically adapt towards a new speakers characteristics. A new modified artificial neural network (ANN) was proposed incorporating One-Class-OneNetwork (OCON) subnet architectures connected via a common front-end adaptation layer. Using vowel phonemes from the TIMIT speech database, the adaptation was concentrated on neurons within the front-end layer, resulting in only information common to all classes, primarily speaker characteristics, being adapted. In addition, this prevented new utterances from interfering with phoneme unique information in the corresponding OCON subnets. Hence a more efficient adaptation procedure was created which, after adaptation towards a single class, also aided in the recognition of the remaining classes within the network. Compared with a conventional multi-layer perceptron network, results for inter- and intraspeaker adaptation showed an equally marked improvement for the recognition of adapted phonemes during both full neuron and front-layer neuron adaptation within the new modified architecture. When testing the effects of adaptation on the remaining unadapted vowel phonemes, the modified architecture (allowing only the neurons in the front-end layer to adapt) yielded better results than the modified architecture allowing full neuron adaptation. These results highlighted the storing of speaker information, common to all classes, in the front-end layer allowing efficient inter- and intra-speaker dynamic adaptation.

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Tran, Quang Duc. "One-class classification : an approach to handle class imbalance in multimodal biometric authentication". Thesis, City, University of London, 2014. http://openaccess.city.ac.uk/19662/.

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Biometric verification is the process of authenticating a person‟s identity using his/her physiological and behavioural characteristics. It is well-known that multimodal biometric systems can further improve the authentication accuracy by combining information from multiple biometric traits at various levels, namely sensor, feature, match score and decision levels. Fusion at match score level is generally preferred due to the trade-off between information availability and fusion complexity. However, combining match scores poses a number of challenges, when treated as a two-class classification problem due to the highly imbalanced class distributions. Most conventional classifiers assume equally balanced classes. They do not work well when samples of one class vastly outnumber the samples of the other class. These challenges become even more significant, when the fusion is based on user-specific processing due to the limited availability of the genuine samples per user. This thesis aims at exploring the paradigm of one-class classification to advance the classification performance of imbalanced biometric data sets. The contributions of the research can be enumerated as follows. Firstly, a thorough investigation of the various one-class classifiers, including Gaussian Mixture Model, k-Nearest Neighbour, K-means clustering and Support Vector Data Description, has been provided. These classifiers are applied in learning the user-specific and user-independent descriptions for the biometric decision inference. It is demonstrated that the one-class classifiers are particularly useful in handling the imbalanced learning problem in multimodal biometric authentication. User-specific approach is a better alternative with respect to user-independent counterpart because it is able to overcome the so-called within-class sub-concepts problem, which arises very often in multimodal biometric systems due to the existence of user variation. Secondly, a novel adapted score fusion scheme that consists of one-class classifiers and is trained using both the genuine user and impostor samples has been proposed. This method also replaces user-independent by user-specific description to learn the characteristics of the impostor class, and thus, reducing the degree of imbalanced proportion of data for different classes. Extensive experiments are conducted on the BioSecure DS2 and XM2VTS databases to illustrate the potential of the proposed adapted score fusion scheme, which provides a relative improvement in terms of Equal Error Rate of 32% and 20% as compared to the standard sum of scores and likelihood ratio based score fusion, respectively. Thirdly, a hybrid boosting algorithm, called r-ABOC has been developed, which is capable of exploiting the natural capabilities of both the well-known Real AdaBoost and one-class classification to further improve the system performance without causing overfitting. However, unlike the conventional Real AdaBoost, the individual classifiers in the proposed schema are trained on the same data set, but with different parameter choices. This does not only generate a high diversity, which is vital to the success of r-ABOC, but also reduces the number of user-specified parameters. A comprehensive empirical study using the BioSecure DS2 and XM2VTS databases demonstrates that r-ABOC may achieve a performance gain in terms of Half Total Error Rate of up to 28% with respect to other state-of-the-art biometric score fusion techniques. Finally, a Robust Imputation based on Group Method of Data Handling (RIBG) has been proposed to handle the missing data problem in the BioSecure DS2 database. RIBG is able to provide accurate predictions of incomplete score vectors. It is observed to achieve a better performance with respect to the state-of-the-art imputation techniques, including mean, median and k-NN imputations. An important feature of RIBG is that it does not require any parameter fine-tuning, and hence, is amendable to immediate applications.

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Harper, John-Paul. "The class number one problem in function fields". Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53619.

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Thesis (MComm)--Stellenbosch University, 2003.
ENGLISH ABSTRACT: In this dissertation I investigate the class number one problem in function fields. More precisely I give a survey of the current state of research into extensions of a rational function field over a finite field with principal ring of integers. I focus particularly on the quadratic case and throughout draw analogies and motivations from the classical number field situation. It was the "Prince of Mathematicians" C.F. Gauss who first undertook an in depth study of quadratic extensions of the rational numbers and the corresponding rings of integers. More recently however work has been done in the situation of function fields in which the arithmetic is very similar. I begin with an introduction into the arithmetic in function fields over a finite field and prove the analogies of many of the classical results. I then proceed to demonstrate how the algebra and arithmetic in function fields can be interpreted geometrically in terms of curves and introduce the associated geometric language. After presenting some conjectures, I proceed to give a survey of known results in the situation of quadratic function fields. I present also a few results of my own in this section. Lastly I state some recent results regarding arbitrary extensions of a rational function field with principal ring of integers and give some heuristic results regarding class groups in function fields.
AFRIKAANSE OPSOMMING: In hierdie tesis ondersoek ek die klasgetal een probleem in funksieliggame. Meer spesifiek ondersoek ek die huidige staat van navorsing aangaande uitbreidings van 'n rasionale funksieliggaam oor 'n eindige liggaam sodat die ring van heelgetalle 'n hoofidealgebied is. Ek kyk in besonder na die kwadratiese geval, en deurgaans verwys ek na die analoog in die klassieke getalleliggaam situasie. Dit was die beroemde wiskundige C.F. Gauss wat eerste kwadratiese uitbreidings van die rasionale getalle en die ooreenstemende ring van heelgetalle in diepte ondersoek het. Onlangs het wiskundiges hierdie probleme ook ondersoek in die situasie van funksieliggame oor 'n eindige liggaam waar die algebraïese struktuur baie soortgelyk is. Ek begin met 'n inleiding tot die rekenkunde in funksieliggame oor 'n eindige liggaam en bewys die analogie van baie van die klassieke resultate. Dan verduidelik ek hoe die algebra in funksieliggame geometries beskou kan word in terme van kurwes en gee 'n kort inleiding tot die geometriese taal. Nadat ek 'n paar vermoedes bespreek, gee ek 'n oorsig van wat alreeds vir quadratiese funksieliggame bewys is. In hierdie afdeling word 'n paar resultate van my eie ook bewys. Dan vermeld ek 'n paar resultate aangaande algemene uitbreidings van 'n rasionale funksieliggaam oor 'n eindige liggaam waar die van ring heelgetalle 'n hoofidealgebied is. Laastens verwys ek na 'n paar heurisitiese resultate aangaande klasgroepe in funksieliggame.

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Nguyen, Dat. "MULTIPLE-INSTANCE AND ONE-CLASS RULE-BASED ALGORITHMS". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3059.

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In this work we developed rule-based algorithms for multiple-instance learning and one-class learning problems, namely, the mi-DS and OneClass-DS algorithms. Multiple-Instance Learning (MIL) is a variation of classical supervised learning where there is a need to classify bags (collection) of instances instead of single instances. The bag is labeled positive if at least one of its instances is positive, otherwise it is negative. One-class learning problem is also known as outlier or novelty detection problem. One-class classifiers are trained on data describing only one class and are used in situations where data from other classes are not available, and also for highly unbalanced data sets. Extensive comparisons and statistical testing of the two algorithms show that they generate models that perform on par with other state-of-the-art algorithms.

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Kilicer, Pinar. "The CM class number one problem for curves". Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0046/document.

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Soit E une courbe elliptique sur C ayant multiplication complexe (CM) par l’ordre maximal OK d’un corps quadratique imaginaire K. Le premier théorème principal de la multiplication complexe affirme que le corps K(j(E)), obtenu en adjoignant à K le j-invariant de E, est égal au corps de classes de Hilbert de K, confer Cox [11, Theorem 11.1]. Notons que lorsque E est définie sur Q, le corps de classes de Hilbert K(j(E)) est égal à K et le groupe des classes ClK est trivial. Se pose alors le problème de déterminer les corps quadratiques totalement imaginaires K pour lesquels la courbe elliptique à multiplication complexe par OK correspondante est définie sur Q. De façon équivalente, il s’agit de trouver tous les corps quadratiques imaginaires dont le groupe des classes est trivial. Ce problème est connu sous le nom de problème du nombre de classes 1 de Gauss et a été résolu par Heegner en 1952 [16], Baker en 1967 [2] et Stark en 1967 [41]; les corps quadratiques imaginaires dont le groupe des classes est trivial sont les corps Q(racine carrée−d), où d e {3, 4, 7, 8, 11, 19, 43, 67, 163}. Dans les années ’50, Shimura et Taniyama [39] ont généralisé le premier théorème principal de la multiplication complexe aux variétés abéliennes. On dit qu’une variété abélienne A de dimension g a multiplication complexe si son anneau d’endomorphismes contient un ordre d’un corps CM de degré 2g. Soit K un corps CM de degré 2g et d’ordre maximal OK et soit un type CM de K. Soit A une variété abélienne complexe simplement polarisée de dimension g ayant multiplication complexe par OK. Le premier théorème principal de la multiplication complexe dans ce cadre affirme que le corps de classes H du corps du modules M de la variété abélienne simplement polarisée A est une extension non ramifiée du corps reflex Kr de K. De plus, le corps des classes H correspond au groupe d’idéaux I0(.r) (voir page 17) qui ne dépend que de (K,.), confer Théorème 1.5.6. Notons que le premier théorème de la multiplication complexe implique que si la variété abélienne polarisée A est définie sur Kr, le groupe des classes CM IKr/I0(.r) est trivial. Comme dans le cas des courbes elliptiques, on peut alors chercher à déterminer les couples CM (K,.) pour lesquels les variétés abéliennes correspondantes sont définies sur Kr. De fa¸con équivalente, il s’agit de déterminer les couples CM (K,.) dont le groupe des classes CM, IKr/I0(.r), est trivial. Dans cette thèse, on résout ce problème dans le cas des corps CM quartiques imaginaires (voir Chapitre 2) ainsi que dans celui des corps CM sextiques contenant un corps quadratique imaginaire (voir Chapitre 3). Enfin, on peut se demander quels sont les corps CM pour lesquels la variété abélienne simple à multiplication complexe admet Q comme corps de module. Murabayashi et Umegaki [31] ont déterminé les corps quartiques CM correspondant aux surfaces abéliennes simples à multiplication complexe de corps du module Q. Dans le chapitre 4, on détermine les corps CM sextiques correspondant aux variétés abéliennes simples à multiplication complexe de dimension 3 de corps du module Q
Let E be an elliptic curve over C with complex multiplication (CM) by the maximal order OK of an imaginary quadratic field K. The first main theorem of complex multiplication for elliptic curves then states that the field extension K(j(E)), obtained by adjoining the j-invariant of E to K, is equal to the Hilbert class field of K, see Theorem 11.1 in Cox [11]. Note that if E is defined over Q, then the Hilbert class field K(j(E)) is equal to K, which implies that the class group ClK is trivial. We can ask for which imaginary quadratic fields K the corresponding elliptic curve with CM by OK is defined over Q. This is equivalent to asking to find all imaginary quadratic fields with trivial class group ClK. This problem is known as Gauss’ class number one problem, which was solved by Heegner in 1952 [16], Baker in 1967 [2], and Stark in 1967 [41]. The imaginary quadratic fields with trivial class group are the fields Q(V−d) with d E {3, 4, 7, 8, 11, 19, 43, 67, 163}. In the 1950’s, Shimura and Taniyama [39] generalized the first main theorem of CM for elliptic curves to abelian varieties. We say that an abelian variety A of dimension g has CM if the endomorphism ring of A contains an order of a CM field of degree 2g. Let K be a CM field of degree 2g with maximal order OK, and let K be a CM type of K. Let A be a polarized simple abelian variety over C of dimension g that has CM by OK. Then the first main theorem of CM says that the field of moduli M of the polarized simple abelian variety A gives an unramified class field H over the reflex field Kr of K. Moreover, the class field H corresponds to the ideal group I0(?r) (see page 17), which only depends on (K,?), see Theorem 1.5.6. Note that the first main theorem of CM implies that if the polarized abelian variety A is defined over Kr, then the CM class group IKr/I0(?r) is trivial. As in the elliptic curve case, we can ask for which CM pairs (K,?) the corresponding CM abelian varieties are defined over Kr. Equivalently, we can ask for which CM pairs (K,?) the CM class group IKr/I0(?r) is trivial. In this thesis we give an answer to this problem for quartic CM fields (see Chapter 2), and for sextic CM fields containing an imaginary quadratic field (see Chapter 3). Furthermore, we can ask for which CM fields the corresponding simple CM abelian varieties have field of moduli Q. Murabayashi and Umegak [31] determined the quartic CM fields that correspond to a simple CM abelian surface with field of moduli Q. In Chapter 4, we determine the sextic CM fields that correspond to a simple CM abelian threefold with field of moduli Q

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Kaya, Hamza. "Using Social Graphs In One-class Collaborative Filtering Problem". Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611131/index.pdf.

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One-class collaborative filtering is a special type of collaborative filtering methods that aims to deal with datasets that lack counter-examples. In this work, we introduced social networks as a new data source to the one-class collaborative filtering (OCCF) methods and sought ways to benefit from them when dealing with OCCF problems. We divided our research into two parts. In the first part, we proposed different weighting schemes based on social graphs for some well known OCCF algorithms. One of the weighting schemes we proposed outperformed our baselines for some of the datasets we used. In the second part, we focused on the dataset differences in order to find out why our algorithm performed better on some of the datasets. We compared social graphs with the graphs of users and their neighbors generated by the k-NN algorithm. Our research showed that social graphs generated from a specialized domain better improves the recommendation performance than the social graphs generated from a more generic domain.

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Silva, Eduardo Germano da. "A one-class NIDS for SDN-based SCADA systems". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/164632.

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Sistemas elétricos possuem grande influência no desenvolvimento econômico mundial. Dada a importância da energia elétrica para nossa sociedade, os sistemas elétricos frequentemente são alvos de intrusões pela rede causadas pelas mais diversas motivações. Para minimizar ou até mesmo mitigar os efeitos de intrusões pela rede, estão sendo propostos mecanismos que aumentam o nível de segurança dos sistemas elétricos, como novos protocolos de comunicação e normas de padronização. Além disso, os sistemas elétricos estão passando por um intenso processo de modernização, tornando-os altamente dependentes de sistemas de rede responsáveis por monitorar e gerenciar componentes elétricos. Estes, então denominados Smart Grids, compreendem subsistemas de geração, transmissão, e distribuição elétrica, que são monitorados e gerenciados por sistemas de controle e aquisição de dados (SCADA). Nesta dissertação de mestrado, investigamos e discutimos a aplicabilidade e os benefícios da adoção de Redes Definidas por Software (SDN) para auxiliar o desenvolvimento da próxima geração de sistemas SCADA. Propomos também um sistema de detecção de intrusões (IDS) que utiliza técnicas específicas de classificação de tráfego e se beneficia de características das redes SCADA e do paradigma SDN/OpenFlow. Nossa proposta utiliza SDN para coletar periodicamente estatísticas de rede dos equipamentos SCADA, que são posteriormente processados por algoritmos de classificação baseados em exemplares de uma única classe (OCC). Dado que informações sobre ataques direcionados à sistemas SCADA são escassos e pouco divulgados publicamente por seus mantenedores, a principal vantagem ao utilizar algoritmos OCC é de que estes não dependem de assinaturas de ataques para detectar possíveis tráfegos maliciosos. Como prova de conceito, desenvolvemos um protótipo de nossa proposta. Por fim, em nossa avaliação experimental, observamos a performance e a acurácia de nosso protótipo utilizando dois tipos de algoritmos OCC, e considerando eventos anômalos na rede SCADA, como um ataque de negação de serviço (DoS), e a falha de diversos dispositivos de campo.
Power grids have great influence on the development of the world economy. Given the importance of the electrical energy to our society, power grids are often target of network intrusion motivated by several causes. To minimize or even to mitigate the aftereffects of network intrusions, more secure protocols and standardization norms to enhance the security of power grids have been proposed. In addition, power grids are undergoing an intense process of modernization, and becoming highly dependent on networked systems used to monitor and manage power components. These so-called Smart Grids comprise energy generation, transmission, and distribution subsystems, which are monitored and managed by Supervisory Control and Data Acquisition (SCADA) systems. In this Masters dissertation, we investigate and discuss the applicability and benefits of using Software-Defined Networking (SDN) to assist in the deployment of next generation SCADA systems. We also propose an Intrusion Detection System (IDS) that relies on specific techniques of traffic classification and takes advantage of the characteristics of SCADA networks and of the adoption of SDN/OpenFlow. Our proposal relies on SDN to periodically gather statistics from network devices, which are then processed by One- Class Classification (OCC) algorithms. Given that attack traces in SCADA networks are scarce and not publicly disclosed by utility companies, the main advantage of using OCC algorithms is that they do not depend on known attack signatures to detect possible malicious traffic. As a proof-of-concept, we developed a prototype of our proposal. Finally, in our experimental evaluation, we observed the performance and accuracy of our prototype using two OCC-based Machine Learning (ML) algorithms, and considering anomalous events in the SCADA network, such as a Denial-of-Service (DoS), and the failure of several SCADA field devices.

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Pentukar, Sai Kiran. "OCLEP+: One-Class Intrusion Detection Using Length of Patterns". Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1496147438710588.

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Libri sul tema "One-class"

One class: Selected poems, 1965-2008. Brownsville, Vermont: Harbor Mountain Press, 2008.

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Velde, Vivian Vande. 8 class pets + one squirrel [divided by] one dog = chaos. New York: Holiday House, 2012.

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Velde, Vivian Vande. 8 class pets + one squirrel [divided by] one dog = chaos. New York: Holiday House, 2012.

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Gurney, A. R. Two class acts: Two one-act plays. New York, NY: Dramatists Play Service, Inc., 2017.

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Hoosiers--classified: Indiana's love affair with one-class basketball. Indianapolis, IN: Masters Press, 1997.

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Connect 3: The power of one Sunday School class. Nashville, Tenn: LifeWay Press, 2008.

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Kruse, John A. Class size reduction project: Research design & year one work plan. [Anchorage]: The Institute, 1993.

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Kinyatti, Maina wa. Classes and class struggle in Kenya: Kenya, many nationalities, one people. Nairobi: Mau Mau Research Centre, 2008.

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Herbstein, Judith F. Middle-class Hispanic women in the United States: One migrant's story. [East Lansing, Mich.]: Michigan State University, 1985.

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The longneck bird of Longboat Key: One of the privileged class. Longboat Key, Fl: Hawk Pub., 1993.

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Capitoli di libri sul tema "One-class"

dos Reis, Denis, André Maletzke, Everton Cherman e Gustavo Batista. "One-Class Quantification". In Machine Learning and Knowledge Discovery in Databases, 273–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10925-7_17.

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Curry, Robert, e Malcolm I. Heywood. "One-Class Genetic Programming". In Lecture Notes in Computer Science, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01181-8_1.

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Rendle, Steffen. "One-Class Matrix Factorization". In Context-Aware Ranking with Factorization Models, 155–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16898-7_10.

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Fort, Deborah C. "One Class Was Enough". In One Legacy of Paul F. Brandwein, 51–52. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2528-9_12.

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Glazer, Assaf, Michael Lindenbaum e Shaul Markovitch. "One-Class Background Model". In Computer Vision - ACCV 2012 Workshops, 301–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37410-4_26.

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Tax, David M. J., e Robert P. W. Duin. "Combining One-Class Classifiers". In Multiple Classifier Systems, 299–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48219-9_30.

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Bauman, Evgeny, e Konstantin Bauman. "One-Class Semi-supervised Learning". In Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 189–200. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99492-5_8.

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Madany Mamlouk, Amir, Jan T. Kim, Erhardt Barth, Michael Brauckmann e Thomas Martinetz. "One-Class Classification with Subgaussians". In Lecture Notes in Computer Science, 346–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45243-0_45.

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Qiu, Huimin, Chunhong Zhang e Jiansong Miao. "Pairwise One Class Recommendation Algorithm". In Advances in Knowledge Discovery and Data Mining, 744–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18032-8_58.

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Fukuda, Takashi, Keiichi Komatsu e Takayuki Morisawa. "Weber’s Class Number One Problem". In Contributions in Mathematical and Computational Sciences, 221–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55245-8_6.

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Atti di convegni sul tema "One-class"

Schlachter, Patrick, e Bin Yang. "Active Learning for One-Class Classification Using Two One-Class Classifiers". In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8552958.

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Pan, Rong, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz e Qiang Yang. "One-Class Collaborative Filtering". In 2008 Eighth IEEE International Conference on Data Mining (ICDM). IEEE, 2008. http://dx.doi.org/10.1109/icdm.2008.16.

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Shahin Shamsabadi, Ali, Hamed Haddadi e Andrea Cavallaro. "Distributed One-Class Learning". In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451093.

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Schlachter, Patrick, Yiwen Liao e Bin Yang. "Deep One-Class Classification Using Intra-Class Splitting". In 2019 IEEE Data Science Workshop (DSW). IEEE, 2019. http://dx.doi.org/10.1109/dsw.2019.8755576.

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Schlachter, Patrick, Yiwen Liao e Bin Yang. "One-Class Feature Learning Using Intra-Class Splitting". In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8902848.

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Wenzhu, Sun, Hu Wenting, Xue Zufeng e Cao Jianping. "Overview of one-Class Classification". In 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). IEEE, 2019. http://dx.doi.org/10.1109/siprocess.2019.8868559.

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Li, Chen, e Yang Zhang. "Bagging One-Class Decision Trees". In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.478.

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Nader, Patric, Paul Honeine e Pierre Beauseroy. "Mahalanobis-based one-class classification". In 2014 IEEE 24th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2014. http://dx.doi.org/10.1109/mlsp.2014.6958934.

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Hadjadji, Bilal, Youcef Chibani e Yasmine Guerbai. "Multiple One-Class Classifier Combination for Multi-class Classification". In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.488.

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Tao Ban e S. Abe. "Implementing Multi-class Classifiers by One-class Classification Methods". In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.246699.

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Rapporti di organizzazioni sul tema "One-class"

Younk, Patrick. PDV Hands-On Class, One Day Intensive. Office of Scientific and Technical Information (OSTI), febbraio 2023. http://dx.doi.org/10.2172/1923615.

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Nohel, John A. A Class of One-Dimensional Degenerate Parabolic Equations. Fort Belvoir, VA: Defense Technical Information Center, luglio 1985. http://dx.doi.org/10.21236/ada160962.

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Oliker, V. I., e P. Waltman. New Methods for Numerical Solution of One Class of Strongly Nonlinear Partial Differential Equations with Applications. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1986. http://dx.doi.org/10.21236/ada186166.

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Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, settembre 2023. http://dx.doi.org/10.4271/epr2023020.

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<div class="section abstract"><div class="htmlview paragraph">Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits.</div><div class="htmlview paragraph"><b>Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects</b> discusses the challenges need to be addressed before identified capabilities and benefits can be realized at scale: <ul class="list disc"><li class="list-item"><div class="htmlview paragraph">Mission-specific eVTOL vehicle development </div></li><li class="list-item"><div class="htmlview paragraph">Operator- and patient-specific accommodations</div></li><li class="list-item"><div class="htmlview paragraph">Detect-and-avoid capabilities in complex and challenging operating environments</div></li><li class="list-item"><div class="htmlview paragraph">Autonomous and artificial intelligence-enhanced mission capabilities</div></li><li class="list-item"><div class="htmlview paragraph">Home-base charging systems for battery power platforms</div></li><li class="list-item"><div class="htmlview paragraph">Simplified operator and support training</div></li><li class="list-item"><div class="htmlview paragraph"> Vehicle/fleet maintenance and support</div></li><li class="list-item"><div class="htmlview paragraph">Acceptance and participation from stakeholder services, local and state-level leadership, field operators, and support team members</div></li></ul></div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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Borgwardt, Stefan, e Barbara Morawska. Finding Finite Herbrand Models. Technische Universität Dresden, 2011. http://dx.doi.org/10.25368/2022.182.

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We show that finding finite Herbrand models for a restricted class of first-order clauses is ExpTime-complete. A Herbrand model is called finite if it interprets all predicates by finite subsets of the Herbrand universe. The restricted class of clauses consists of anti-Horn clauses with monadic predicates and terms constructed over unary function symbols and constants. The decision procedure can be used as a new goal-oriented algorithm to solve linear language equations and unification problems in the description logic FL₀. The new algorithm has only worst-case exponential runtime, in contrast to the previous one which was even best-case exponential.

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Eley, T. C., John Leslie King, Kalle Lyytinen e Jeffrey Nickerson. Implications of Off-road Automation for On-road Automated Driving Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, dicembre 2023. http://dx.doi.org/10.4271/epr2023029.

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<div class="section abstract"><div class="htmlview paragraph">Automated vehicles, in the form we see today, started off-road. Ideas, technologies, and engineers came from agriculture, aerospace, and other off-road domains. While there are cases when only on-road experience will provide the necessary learning to advance automated driving systems, there is much relevant activity in off-road domains that receives less attention.</div><div class="htmlview paragraph"><b>Implications of Off-road Automation for On-road Automated Driving Systems</b> argues that one way to accelerate on-road ADS development is to look at similar experiences off-road. There are plenty of people who see this connection, but there is no formalized system for exchanging knowledge.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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Kozumplik, Brian J. Electric Charging Intended Functionality, Availability, and Equity Inclusion. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, gennaio 2023. http://dx.doi.org/10.4271/epr2023001.

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<div class="section abstract"><div class="htmlview paragraph">As unprecedented growth in EV sales is expected, and the number of public charging stations must be planned accordingly as charger up-time and functionality (i.e., availability) is the number one factor for users once the charging system is installed. </div><div class="htmlview paragraph"><b>Electric Vehicle Intended Functionality, Availability, and Equity Inclusion</b> informs current customers and potential purchasers of functionality, availability, and equity inclusion issues with EV charging systems currently in production and in use across North America and Europe. Note that if shortages of available chargers are recognized and exposed across the US, this could then have a negative impact on future potential EV customers from making the “leap” from traditional ICE vehicles to EVs. </div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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David, Aharon. Controlling Aircraft—From Humans to Autonomous Systems: The Fading Humans. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, luglio 2023. http://dx.doi.org/10.4271/epr2023014.

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<div class="section abstract"><div class="htmlview paragraph">While being the first to fly, the Wright Brothers were also the first and last complete “one stop shop” of aviation: the only case in human flight in which the same individuals personally carried out the research, development, testing, manufacturing, operation, maintenance, air control, flight simulation, training, setup, operation, and more. Since then, these facets gradually fragmented and drifted away from the aircraft. This report discusses the phenomenon of aircraft operation’s “fading humans,” including the development of flight instruments to support it, its growing automation, the emerging artificial intelligence paradigm, and the lurking cyber threats that all over the place.</div><div class="htmlview paragraph"><b>Controlling Aircraft – From Humans to Autonomous Systems: The Fading Humans</b> examines the “fading” process itself, including its safety aspects, current mitigation efforts, ongoing research, and the unsettled topics that still remain.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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Araujo, María Caridad, Yyannu Cruz-Aguayo, Pedro Carneiro e Norbert Schady. Teacher Quality and Learning Outcomes in Kindergarten. Inter-American Development Bank, dicembre 2016. http://dx.doi.org/10.18235/0011718.

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We assigned two cohorts of kindergarten students, totaling more than 24,000 children, to teachers within schools with a rule that is as-good-as-random. We collected data on children at the beginning of the school year, and applied 12 tests of math, language and executive function (EF) at the end of the year. All teachers were filmed teaching for a full day, and the videos were coded using a well-known classroom observation tool, the Classroom Assessment Scoring System (or CLASS). We find substantial classroom effects: A one-standard deviation increase in classroom quality results in 0.11, 0.11, and 0.07 standard deviation higher test scores in language, math, and EF, respectively. Teacher behaviors, as measured by the CLASS, are associated with higher test scores. Parents recognize better teachers, but do not change their behaviors appreciably to take account of differences in teacher quality .

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