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Artykuły w czasopismach na temat "Algorithme cognitif"
Jalenques, I. "SMP – Diagnostic et traitement personnalisés : un paradigme d’avenir dans les troubles schizophréniques". European Psychiatry 29, S3 (listopad 2014): 591–92. http://dx.doi.org/10.1016/j.eurpsy.2014.09.315.
Pełny tekst źródłaDiederichs, Elmar. "Reinforcement Learning - A Technical Introduction". Journal of Autonomous Intelligence 2, nr 2 (19.08.2019): 25. http://dx.doi.org/10.32629/jai.v2i2.45.
Pełny tekst źródłaAnderson, John R. "Methodologies for studying human knowledge". Behavioral and Brain Sciences 10, nr 3 (wrzesień 1987): 467–77. http://dx.doi.org/10.1017/s0140525x00023554.
Pełny tekst źródłaFoley, J. M., M. J. Wright, A. L. Gooding, M. Ettenhofer, M. Kim, M. Choi, S. A. Castellon i in. "Operationalization of the updated diagnostic algorithm for classifying HIV-related cognitive impairment and dementia". International Psychogeriatrics 23, nr 5 (19.11.2010): 835–43. http://dx.doi.org/10.1017/s1041610210002085.
Pełny tekst źródłaGonda, Dalibor, Viliam Ďuriš, Anna Tirpáková i Gabriela Pavlovičová. "Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students". Mathematics 10, nr 20 (18.10.2022): 3857. http://dx.doi.org/10.3390/math10203857.
Pełny tekst źródłaLee, Won Hee. "The Choice of Machine Learning Algorithms Impacts the Association between Brain-Predicted Age Difference and Cognitive Function". Mathematics 11, nr 5 (2.03.2023): 1229. http://dx.doi.org/10.3390/math11051229.
Pełny tekst źródłaWahn, Basil, Laura Schmitz, Frauke Nora Gerster i Matthias Weiss. "Offloading under cognitive load: Humans are willing to offload parts of an attentionally demanding task to an algorithm". PLOS ONE 18, nr 5 (19.05.2023): e0286102. http://dx.doi.org/10.1371/journal.pone.0286102.
Pełny tekst źródłaAmoore, Louise, i Rita Raley. "Securing with algorithms: Knowledge, decision, sovereignty". Security Dialogue 48, nr 1 (12.12.2016): 3–10. http://dx.doi.org/10.1177/0967010616680753.
Pełny tekst źródłaDangi, Siddharth, Amy L. Orsborn, Helene G. Moorman i Jose M. Carmena. "Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces". Neural Computation 25, nr 7 (lipiec 2013): 1693–731. http://dx.doi.org/10.1162/neco_a_00460.
Pełny tekst źródłaIonescu, Claudiu Gabriel, i Monica Licu. "Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review". Social Sciences 12, nr 8 (21.08.2023): 465. http://dx.doi.org/10.3390/socsci12080465.
Pełny tekst źródłaRozprawy doktorskie na temat "Algorithme cognitif"
Calandra, Joséphine. "L'algorithmie cognitive et ses applications musicales". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUL148.
Pełny tekst źródłaThis thesis presents the formalization and development of a music analysis software called "Multiscale Oracle Representations For Organized Sounds" (MORFOS). This software aims to implement a multi-scale model of musical form based on Jean-Marc Chouvel's Cognitive Algorithm. The work in this thesis is part of the cognitive analysis in musicology, aimed at understanding the cognitive processes involved in listening to music. We study a hierarchical representation of music and explore the influence of this hierarchy on the organization of musical events over time and on musical comprehension. We formalize the concepts of material, object, and formal diagram, and introduce the Multi-scale Formal Diagram, which describes musical structure at different temporal scales and levels of analysis. This comprises three planes, which we introduce: form, structure, and organization. MORFOS has been implemented in Python and accepts audio, symbolic, and vector representations. This software features a modular architecture integrating different modules for audio processing, classification, and segmentation: we present different measures implemented in the form of a set of rules and discuss the constraints associated with the study of classification and segmentation based on an audio representation. We also introduce the notion of Agenda, which corresponds to the user's choice of a set of rules to represent a "listening" model for the software's analysis of a musical work. The thesis also explores the question of the complexity of the musical structure: we propose the expression of a cost associated with the description of the acquired musical object depending on its context, according to Kolmogorov's definition. We also seek to compare the behavior of MORFOS software with attentional phenomena and cognitive load during musical listening. An experiment designed to measure cognitive load during the musical segmentation task has thus been devised. This thesis also presents reflections on the visualization of multi-scale formal diagrams. To this end, we have developed an interface to make the software accessible to all users. Finally, examples of musical analyses carried out with MORFOS are presented, on a pop music database and a corpus of classical works
Li, Jun. "Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Comparative Cognition". Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/7.
Pełny tekst źródłaGinhac, Dominique. "Adéquation Algorithme architecture : Aspects logiciels, matériels et cognitifs". Habilitation à diriger des recherches, Université de Bourgogne, 2008. http://tel.archives-ouvertes.fr/tel-00646480.
Pełny tekst źródłaEl-Nainay, Mustafa Y. "Island Genetic Algorithm-based Cognitive Networks". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28297.
Pełny tekst źródłaPh. D.
Butterfield, Aaron S. "Using Synthetic Cognits and The Combined Cumulative Squared Deviation as Tools to Quantify the Performance of Cognitive Radar Algorithms". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461242979.
Pełny tekst źródłaBéler, Cédrick. "Modélisation générique d'un retour d'expérience cognitif : application à la prévention des risques". Phd thesis, Toulouse, INPT, 2008. http://oatao.univ-toulouse.fr/7249/1/beler.pdf.
Pełny tekst źródłaMäkeläinen, M. (Marko). "Algorithms for opportunistic load balancing cognitive engine". Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201303011071.
Pełny tekst źródłaYhä tehokkaampien älykkäiden langattomien päätelaitteiden nopea lisääntyminen johtaa niukan radiospektrin yhä kiihtyvään käyttöön. Eräs menetelmä radiospektrin lisääntyvän kysynnän tyydyttämiseen on hyödyntää innovatiivista ja joustavaa resurssin käytönjakoa kuten spektrin jakamista. Spektrinjakamismalli mahdollistaa useiden käyttäjien ja/tai järjestelmien yhtäaikaisen käytön samalla taajuuskaistalla hyödyntämällä sovittua käytäntöä resurssien jakamisesta. Radiospektrin jakaminen on tänä päivänä yleisesti suositeltu toteuttamaan hyödyntämällä kognitiivista radioteknologiaa. Tässä työssä suunnittellaan ja toteutetaan kognitiivinen päätöksentekokone, joka jakaa radiospektriresursseja käyttäjille älykkäästi ja dynaamisesti. Kognitiivista päätöksentekokonetta radioresurssien jakamisessa hyödynnetään kahdessa skenaariossa. Ensimmäisessä skenaariossa radioverkolla on yksinomainen pääsy taajuuskaistalle, jonka käyttöä kognitiivinen päätöksentekokone säätelee joko hyväksymällä tai hylkäämällä verkkoon liittyviä käyttäjiä. Kognitiivinen päätöksentekokoneen päätökset perustuu algoritmiin, joka ottaa huomioon käyttäjien määritetyn tärkeyden ja käyttäjän vaatiman kaistanleveyden. Seuraavassa skenaariossa radioverkko voi oman yksinomaisen taajuuskaistan lisäksi hyödyntää opportunisesti toisen radioverkon taajuuskaistaa silloin, kun siellä ei ole liikennettä. Tätä skenaariota varten suunnitteltiin kognitiivinen päätöksentekokone, jolla on kaksi päätehtävää: 1) hyväksyä tai hylätä verkkoon liittyviä käyttäjiä edellämainitun tärkeysperusteisen algoritmin avulla; ja 2) jakaa käyttäjien liikennettä kahden tarjolla olevan verkon välillä samalla ottaen huomioon opportunistisen resurssin pääkäyttäjien liikenteen jaetulla taajuuskaistalla. Tässä työssä esitellään toteutettu kuormantasausalgoritmi, jonka suorituskykyä tarkastellaan erilaisissa pääkäyttäjien ja toissijaisien käyttäjien liikenneskenaarioissa. Simulaatiotulokset osoittavat, että esitellyn kuormanjakoalgoritmin hyödyntäminen kognitiivisessa päätöksentekokoneessa parantaa verkon keskimääräistä siirtonopeutta, sekä vähentää keskimääräistä käyttäjien hylkäysastetta verkossa. Algoritmimme parantaa opportunistisen taajuuskaistan käyttöastetta. Algoritmimme ottaa myös huomioon käyttäjille asetetut prioriteetit ja parantaa korkeampi prioriteettisten käyttäjien asemaa verkossa. Tämä tulee ilmi muun muassa korkeampi prioriteettisten käyttäjien pienemmässä hylkäysasteessa
Mariani, Andrea <1984>. "Spectrum Sensing Algorithms for Cognitive Radio Applications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5615/2/Mariani_Andrea_SpectrumSensingforCognitiveRadio.pdf.
Pełny tekst źródłaMariani, Andrea <1984>. "Spectrum Sensing Algorithms for Cognitive Radio Applications". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5615/.
Pełny tekst źródłaReje, Franzén Fanny, i Saga Gardelin. "Hide and seek with algorithm : En intervjustudie av cosplay-kreatörers "folk" teorier i förhållande till TikToks algoritm". Thesis, Linnéuniversitetet, Institutionen för medier och journalistik (MJ), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104833.
Pełny tekst źródłaKsiążki na temat "Algorithme cognitif"
Algorithms, abstraction, and implementation: Levels of detail in cognitive science. London: Academic Press, 1992.
Znajdź pełny tekst źródłaPerlovsky, Leonid, Ross Deming i Roman Ilin. Emotional Cognitive Neural Algorithms with Engineering Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22830-8.
Pełny tekst źródłaCognitive search: Evolution, algorithms, and the brain. Cambridge, MA: MIT Press, 2012.
Znajdź pełny tekst źródłaEsposito, Anna, Amir Hussain, Maria Marinaro i Raffaele Martone, red. Multimodal Signals: Cognitive and Algorithmic Issues. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00525-1.
Pełny tekst źródłaPinna, Simone. Extended Cognition and the Dynamics of Algorithmic Skills. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51841-1.
Pełny tekst źródłaFreudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Znajdź pełny tekst źródłaTalvitie, Vesa. Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Znajdź pełny tekst źródłaRoss, Deming, Ilin Roman i SpringerLink (Online service), red. Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: FromVague to Crisp. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Znajdź pełny tekst źródłaEnhancing cognitive assistance systems with inertial measurement units. Berlin: Springer, 2008.
Znajdź pełny tekst źródła(Project), COST Action 2102, euCognition (Project) i COST Action 2102 and euCognition International School (2008 : Vietri sul Mare, Italy), red. Multimodal signals: Cognitive and algorithmic issues : COST Action 2102 and euCognition International School Vietri Sul Mare, Italy, April 21-26, 2008 : revised selected and invited papers. Berlin: Springer, 2009.
Znajdź pełny tekst źródłaCzęści książek na temat "Algorithme cognitif"
Hausser, Roland. "Algorithm". W Computational Cognition, 21–36. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37499-9_2.
Pełny tekst źródłaFrühwirth, Thom, i Slim Abdennadher. "Algorithm = Logic + Control". W Cognitive Technologies, 7–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05138-2_2.
Pełny tekst źródłaKaur, Kiranjit, i Vijay Laxmi. "A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Machine Learning". W Cognitive Computing in Human Cognition, 49–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48118-6_5.
Pełny tekst źródłaDer, Ralf, i Georg Martius. "Algorithmic Implementation". W Cognitive Systems Monographs, 261–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20253-7_15.
Pełny tekst źródłaKaindl, H. "Tree Searching Algorithms". W Computers, Chess, and Cognition, 133–58. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-9080-0_8.
Pełny tekst źródłaLeiser, David, i Christiane Gillièron. "The Extraction Algorithm beneath the Basic Algorithm". W Cognitive Science and Genetic Epistemology, 79–97. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-5649-3_5.
Pełny tekst źródłaFetzer, James H. "Mental Algorithms". W Computers and Cognition: Why Minds are not Machines, 101–29. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0973-7_5.
Pełny tekst źródłaConrardy, Céline, Roland de Guio i Bruno Zuber. "Facetwise Study of Modelling Activities in the Algorithm for Inventive Problem Solving ARIZ and Evolutionary Algorithms". W Design Computing and Cognition ’10, 189–207. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0510-4_11.
Pełny tekst źródłaPalestro, James J., Per B. Sederberg, Adam F. Osth, Trisha Van Zandt i Brandon M. Turner. "Likelihood-Free Algorithms". W Likelihood-Free Methods for Cognitive Science, 13–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72425-6_2.
Pełny tekst źródłaZenil, Hector, Fernando Soler Toscano i Nicolas Gauvrit. "Algorithmic Complexity in Cognition". W Methods and Applications of Algorithmic Complexity, 191–256. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64985-5_9.
Pełny tekst źródłaStreszczenia konferencji na temat "Algorithme cognitif"
Carpenter, Steven, Xinming Yu, Melih Altun, James Graham, J. Jim Zhu i Janusz Starzyk. "Vision Guided Motion Control of a Biomimetic Quadruped Robot: RoboCat". W ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63805.
Pełny tekst źródłaHuang, Shan, Haiyan Wang, Chengqi Xue i Shuang Xia. "Icon Similarity Algorithm Based on Skeleton Comparison". W Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100963.
Pełny tekst źródłaAmanna, Ashwin, Matthew J. Price, Soumava Bera, Manik Gadhiok i Jeffrey H. Reed. "Cognitive Engine Architecture for Railway Communications". W ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42011.
Pełny tekst źródłaGilg, Marc, Yaser Yousef i Pascal Lorenz. "Using Image Processing Algorithms for Energy Efficient Routing Algorithm in Sensor Networks". W 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.98.
Pełny tekst źródłaGuo, Yan, i Ning Li. "Cognitive beamforming algorithm". W 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057249.
Pełny tekst źródłaSaidala, Ravi Kumar, i Nagaraju Devarakonda. "The tornadogenesis optimization algorithm". W 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109777.
Pełny tekst źródłaTeng, Zhiqiang, Haodong Chen, Qitao Hou, Wanbing Song, Chenchen Gu i Ping Zhao. "Design of a Cognitive Rehabilitation System Based on Gesture Recognition". W ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23579.
Pełny tekst źródłaPaul, Padma Polash, i Marina Gavrilova. "Novel multimodal template generation algorithm". W 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622228.
Pełny tekst źródłaRen, Qingchun, i Qilian Liang. "Performance Analysis of Energy Detection for Cognitive RadioWireless Networks". W 2007 International Conference on Wireless Algorithms, Systems and Applications. IEEE, 2007. http://dx.doi.org/10.1109/wasa.2007.17.
Pełny tekst źródłaAbbass, Hussein. "On the Role of Modelling and Simulation for Artificial Intelligence". W 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0005.
Pełny tekst źródłaRaporty organizacyjne na temat "Algorithme cognitif"
Perlovsky, Leonid I. Cognitive Algorithms for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, marzec 2011. http://dx.doi.org/10.21236/ada546287.
Pełny tekst źródłaAnandkumar, Animashree, Nithin Michael, Ao K. Tang i Ananthram Swami. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2010. http://dx.doi.org/10.21236/ada524660.
Pełny tekst źródłaOleksiuk, Vasyl P., i Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], listopad 2020. http://dx.doi.org/10.31812/123456789/4404.
Pełny tekst źródłaOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olesia O. Prokofieva, Olha V. Kovalova i Arnold E. Kiv. Features of implementation of modern AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders. [б. в.], listopad 2020. http://dx.doi.org/10.31812/123456789/4413.
Pełny tekst źródłaPetrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka i Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, lipiec 2021. http://dx.doi.org/10.31812/123456789/4635.
Pełny tekst źródłaOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev i Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, lipiec 2020. http://dx.doi.org/10.31812/123456789/4633.
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