Dissertations / Theses on the topic 'Retrieval accuracy'
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Mohammadzadeh, Hadi. "Improving Retrieval Accuracy in Main Content Extraction from HTML Web Documents." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-130500.
Full textDas rasante Wachstum von textbasierten Informationen im World Wide Web und die Vielfalt der Anwendungen, die diese Daten nutzen, macht es notwendig, effiziente und effektive Methoden zu entwickeln, die den Hauptinhalt identifizieren und von den zusätzlichen Inhaltsobjekten wie z.B. Navigations-Menüs, Anzeigen, Design-Elementen oder Haftungsausschlüssen trennen. Zunächst untersuchen, entwickeln und evaluieren wir in dieser Arbeit R2L, DANA, DANAg und AdDANAg, eine Familie von neuartigen Algorithmen zum Extrahieren des Inhalts von Web-Dokumenten. Das grundlegende Konzept hinter R2L, das auch zur Entwicklung der drei weiteren Algorithmen führte, nutzt die Besonderheiten der Rechts-nach-links-Sprachen aus, um den Hauptinhalt von Webseiten zu extrahieren. Da der lateinische Zeichensatz und die Rechts-nach-links-Zeichensätze durch verschiedene Abschnitte des Unicode-Zeichensatzes kodiert werden, lassen sich die Rechts-nach-links-Zeichen leicht von den lateinischen Zeichen in einer HTML-Datei unterscheiden. Das erlaubt dem R2L-Ansatz, Bereiche mit einer hohen Dichte von Rechts-nach-links-Zeichen und wenigen lateinischen Zeichen aus einer HTML-Datei zu erkennen. Aus diesen Bereichen kann dann R2L die Rechts-nach-links-Zeichen extrahieren. Die erste Erweiterung, DANA, verbessert die Wirksamkeit des Baseline-Algorithmus durch die Verwendung eines HTML-Parsers in der Nachbearbeitungsphase des R2L-Algorithmus, um den Inhalt aus Bereichen mit einer hohen Dichte von Rechts-nach-links-Zeichen zu extrahieren. DANAg erweitert den Ansatz des R2L-Algorithmus, so dass eine Sprachunabhängigkeit erreicht wird. Die dritte Erweiterung, AdDANAg, integriert eine neue Vorverarbeitungsschritte, um u.a. die Weblinks zu normalisieren. Die vorgestellten Ansätze werden in Bezug auf Effizienz und Effektivität analysiert. Im Vergleich mit mehreren etablierten Hauptinhalt-Extraktions-Algorithmen zeigen wir, dass sie in diesen Punkten überlegen sind. Darüber hinaus findet die Extraktion der Überschriften aus Web-Artikeln vielfältige Anwendungen. Hierzu entwickeln wir mit TitleFinder einen sich nur auf den Textinhalt beziehenden und sprachabhängigen Ansatz. Das vorgestellte Verfahren ist in Bezug auf Effektivität und Effizienz besser als bekannte Ansätze, die auf strukturellen und visuellen Eigenschaften der HTML-Datei beruhen
Berman, Garrett L. "The influence of processing instructions at encoding and retrieval on face recognition accuracy." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/1628.
Full textZakos, John, and n/a. "A Novel Concept and Context-Based Approach for Web Information Retrieval." Griffith University. School of Information and Communication Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060303.104937.
Full textZakos, John. "A Novel Concept and Context-Based Approach for Web Information Retrieval." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365878.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Full Text
Gwyer, Pat. "The effects of retrieval procedures on recall, recognition, confidence and the confidence/accuracy relationship." Thesis, University of East London, 1997. http://roar.uel.ac.uk/1281/.
Full textBegovic, Ena. "Encoding Style of Positive Autobiographical Memories: Relationship to Mood Repair, Memory Functioning, and Depression." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6464.
Full textMorgart, Arianna Paige. "Lexical access in aphasia: impacts of phonological neighborhood density on accuracy of word production." Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/1704.
Full textRisius, Uda-Mareke [Verfasser]. "Memory accuracy : A 7-Tesla fMRI approach to memory accuracy ; retrieval, monitoring and control processes / Uda-Mareke Risius. Fakultät für Psychologie und Sportwissenschaft - Arbeitseinheit 14 - Physiologische Psychologie." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2011. http://d-nb.info/1015183646/34.
Full textHolmes, Jason. "Measuring the accuracy of four attributes of sound for conveying changes in a large data set." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4154/.
Full textMohammadzadeh, Hadi [Verfasser], Gerhard [Akademischer Betreuer] Heyer, Gerhard [Gutachter] Heyer, and Jinan [Gutachter] Fiaidhi. "Improving Retrieval Accuracy in Main Content Extraction from HTML Web Documents / Hadi Mohammadzadeh ; Gutachter: Gerhard Heyer, Jinan Fiaidhi ; Betreuer: Gerhard Heyer." Leipzig : Universitätsbibliothek Leipzig, 2013. http://d-nb.info/1237818303/34.
Full textQuimby, Megan. "Word retrieval in bilingual individuals: how do language, test type, and self-reported fluency relate to naming accuracy in English and Hebrew." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12196.
Full textBackground: Although research on lexical access in Hebrew-English bilinguals exists, there is a need to quantify and determine if proficiency correlates with scores on language tasks like naming in structurally different languages, such as Hebrew and English. Objective: The aim of this study is to determine if language, test type, and self-reported proficiency is reflected in Hebrew-English bilinguals' naming ability in the two languages. Methods: Twenty healthy Hebrew-English bilinguals completed the Mini Mental State Examination (MMSE), the Language Use Questionnaire (LUQ), the Boston Naming Test (BNT), a Hebrew naming test (Kave, 2005), a 100-item category picture naming task, and category generation in both languages. Results: There was a significant effect of language and test type on accuracy scores on picture naming tests. While language did not have a significant effect on category generation, category had a significant effect on correct words, means semantic cluster score, and mean semantic switching score. There were several language proficiency variables that were significantly correlated with naming tasks in English (Language Ability Rating (LAR), Confidence, Lifetime Exposure, Education History), yet LUQ proficiency variables were only significantly correlated with Kave's test (LAR, Education History) on the Hebrew naming tasks. Conclusion: It appears that confrontation-naming assessments result in more variable performance in English and Hebrew than fluency tests. Based on correlations between LUQ variables and Hebrew naming performance, Kave's test appears to be the only test that captures the unique aspects that allow individuals to be proficient in Hebrew. The BNT is a useful measure for examining English naming. Therefore, using the BNT and Kave's Hebrew naming test appears to be the most effective in measuring naming performance in Hebrew-English bilinguals. Significant LUQ variables in English and Hebrew indicate that self-reported acquisition patterns and lifetime usage provide valuable information regarding naming performance.
Ekström, Linus, and Andreas Augustsson. "A comperative study of text classification models on invoices : The feasibility of different machine learning algorithms and their accuracy." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15647.
Full textYesiler, M. Furkan. "Data-driven musical version identification: accuracy, scalability and bias perspectives." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673264.
Full textEn esta tesis se desarrollan sistemas de identificación de versiones musicales basados en audio y aplicables en un entorno industrial. Por lo tanto, los tres aspectos que se abordan en esta tesis son el desempeño, escalabilidad, y los sesgos algorítmicos en los sistemas de identificación de versiones. Se propone un modelo dirigido por datos que incorpora conocimiento musical en su arquitectura de red y estrategia de entrenamiento, para lo cual se experimenta con dos enfoques. Primero, se experimenta con métodos de fusión dirigidos por datos para combinar la información de los modelos que procesan información melódica y armónica, logrando un importante incremento en la exactitud de la identificación. Segundo, se investigan técnicas para la destilación de embeddings para reducir su tamaño, lo cual reduce los requerimientos de almacenamiento de datos, y lo que es más importante, del tiempo de búsqueda. Por último, se analizan los sesgos algorítmicos de nuestros sistemas.
Noyes, Elizabeth J. "An investigation into the accuracy of surface temperature retrievals from the AATSR." Thesis, University of Leicester, 2005. http://hdl.handle.net/2381/30690.
Full textVijayan, Balaji. "Accurate and efficient detection, prediction and exploitation of program phases." Diss., Online access via UMI:, 2005.
Find full textWallace, Roy Geoffrey. "Fast and accurate phonetic spoken term detection." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/39610/1/Roy_Wallace_Thesis.pdf.
Full textREIS, JUNIOR JOSE S. B. "Métodos e softwares para análise da produção científica e detecção de frentes emergentes de pesquisa." reponame:Repositório Institucional do IPEN, 2015. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26929.
Full textMade available in DSpace on 2016-12-21T15:07:24Z (GMT). No. of bitstreams: 0
O progresso de projetos anteriores salientou a necessidade de tratar o problema dos softwares para detecção, a partir de bases de dados de publicações científicas, de tendências emergentes de pesquisa e desenvolvimento. Evidenciou-se a carência de aplicações computacionais eficientes dedicadas a este propósito, que são artigos de grande utilidade para um melhor planejamento de programas de pesquisa e desenvolvimento em instituições. Foi realizada, então, uma revisão dos softwares atualmente disponíveis, para poder-se delinear claramente a oportunidade de desenvolver novas ferramentas. Como resultado, implementou-se um aplicativo chamado Citesnake, projetado especialmente para auxiliar a detecção e o estudo de tendências emergentes a partir da análise de redes de vários tipos, extraídas das bases de dados científicas. Através desta ferramenta computacional robusta e eficaz, foram conduzidas análises de frentes emergentes de pesquisa e desenvolvimento na área de Sistemas Geradores de Energia Nuclear de Geração IV, de forma que se pudesse evidenciar, dentre os tipos de reatores selecionados como os mais promissores pelo GIF - Generation IV International Forum, aqueles que mais se desenvolveram nos últimos dez anos e que se apresentam, atualmente, como os mais capazes de cumprir as promessas realizadas sobre os seus conceitos inovadores.
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP
Thaiss, Laila Maria. "A comparison of the role of the frontal cortex and the anterior temporal lobe in source memory and in the accurate retrieval of episodic information /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=38424.
Full textIn the present experiments, patients with unilateral excisions restricted to frontal cortex or to the anterior temporal lobe were compared on various tasks examining source memory performance and the accurate retrieval of episodic information. The results of these studies failed to support the general contention that patients with frontal cortex excisions have source (or temporal context) memory impairments. Instead, differences between these patients and normal control subjects appeared to be contingent on whether strategic organizational or control processes were necessary for efficient processing of episodic information. The memory of patients with left temporal lobe excisions, on the other hand, was significantly impaired for both content and source information in most tasks. Furthermore, these subjects showed high rates of inaccuracies and distortions of memory. The false memories of this patient group were attributed to a combination of their poor memory for the specific items of the task and their over-reliance on semantic "gist" or on inferential knowledge about the events. Patients with right temporal lobe excisions were generally less severely impaired on the verbal memory tasks compared with those with left-sided lesions, but were impaired in their memory for the contextual aspects of an event.
Artchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.
Full textChia-HaoLiu and 劉家豪. "Using Feature-Based Pre-clustering Method for Increasing the Accuracy of Image Retrieval." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8v64d4.
Full text國立成功大學
製造資訊與系統研究所
103
Based on feature matching technique, image retrieval system finds similar images in large database by using distance measure to examine the similarity of feature information between two different images. Traditionally, brute-force search is used to match feature points one by one. However, it is very time-consuming and inefficient for image retrieval processing. To deal with this problem, a tree-like data structure built by a set of training features is used. The idea is to use hierarchical clustering algorithm to merge similar training features into tree structured groups. Since each leaf of the tree will contain a group of similar features, the required range to compare training features and query features can be narrowed down by tree traversal. Although a tree structure of training features can reduce the time of feature matching efficiently, it often needs to spend more searching time on repeating the same path at tree when the number of features extracted from the query image increase. Hence, based on non-hierarchical clustering algorithm, we propose Feature-Based Pre-clustering Method, that clusters similar descriptor of query features before feature matching. Compared with non-pre-clustering method, the result shows that using K-Means as pre-clustering method can provide a similar average accuracy in shorter retrieval time.
Chuang, Po-Yu, and 莊博宇. "Enhancing Time-efficiency and Accuracy of Patent Prior Art Retrieval Based on Claim Structure." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/02995782717233923789.
Full text國立清華大學
服務科學研究所
101
Patent is one of the most valuable intelligent properties. It not only protects inventions and ideas but also is an economic source of enterprises. Since that, it is important for enterprises to detect patent infringement to avoid any legal and economic risks. Patent prior art search task is mainly to identify prior patents that are relevant to a patent application. Thus, a system for retrieving patent prior art is expected to obtain the set of patents which are the most relevant to a target patent. Beyond the existing achievements including patent claim structure in prior retrieval, this research enhances the time efficiency and accuracy of the patient prior retrieval task by using cloud computing and semantic term expansion. The major contribute of this research is to enhance the prior art retrieval system in terms of time efficiency and accuracy, by which enterprises or patent analyzers are operationally viable to identify the most relevant prior patents in filing or approving a new patent
Wang, Jen-Shiang, and 王禎祥. "Accuracy Analysis of Ellipsometry Based Multi-layer Film Measurement Technique-Incident Angle Verification and Retrieval." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/12628102973832997203.
Full text國立臺灣大學
應用力學研究所
86
Ellipsometers have long been used as a major tool for studying the index ofref raction and film thickness of multi-layer structures. Two major properties of ellipsometers are worth mentioning. Firstly, as the physical quantity of int erest including the index of refraction and film thickness cannot be measured directly, a theoretical multi-layer structure model and a numerical inversion algorithm must be used to retrieve these physical quantities. Secondly, the a ccuracy of the angle of incidence will effect the accuracyof these physical qu antities strongly. An incident-angle-retrieval algorithm was invented in this thesis as part of the inversion algorithm to further promote the accuracy of the index of refraction and the film thickness and to compensate for the error induced by any small errors in the supporting mechanical structures. Startin g from the fundamental optical theory and the advantages and disadvantages of the many powerful numerical inversion algorithms, these numerical algorithms w ere used to simulate many measurement conditions. They were used to evaluate the accuracy of the index of refraction and the film thickness as to whether t he newly devised incident-angle-retrieval algorithm can further increase the a ccuracy of the physical quantities to be retrieved. The simulation results wi th the new algorithm show significant improvement in accuracy.
"Analysis of information features in natural language queries for music information retrieval: Use patterns and accuracy." UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, 2009. http://pqdtopen.proquest.com/#viewpdf?dispub=3337875.
Full textLee, Jin Ha. "Analysis of information features in natural language queries for music information retrieval : use patterns and accuracy /." 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3337875.
Full textSource: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4167. Adviser: Allen Renear. Includes bibliographical references (leaves 192-207) Available on microfilm from Pro Quest Information and Learning.
Fan, Yu-Hao, and 范育豪. "Enhancing the Accuracy of the Template Matching for Content-Based Image Retrieval Based on Support Vector Machine." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/99723616790989243873.
Full text國立交通大學
電控工程研究所
102
In this thesis, we propose a content-based image retrieval method to enhance the accuracy of acquiring images from large image databases. The term “content” refers to the information that can be extracted from the image itself. The proposed method combines template matching and support vector machine. With the content of images, the similarities among them can be measured according the chi-square distance. The advantage of template matching is that prior knowledge of the databases is unnecessary. However, the variance of images for the same object, called within-class variance, could affect the similarities among images and lead to wrong query results. To solve this problem, support vector machine is introduced in the second stage. Support vector machine can classify images into two categories. We select the training images of support vector machine based on the similarities computed in the first stage. Support vector machine is able to generate non-linear decision boundaries that can reduce the effect of within-class variance. In this thesis, we utilized Caltech-101 databases for experiments. The experimental results show that the proposed content-based image retrieval method has better accuracy than template matching.