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Статті в журналах з теми "Algorithme cognitif"
Jalenques, I. "SMP – Diagnostic et traitement personnalisés : un paradigme d’avenir dans les troubles schizophréniques." European Psychiatry 29, S3 (November 2014): 591–92. http://dx.doi.org/10.1016/j.eurpsy.2014.09.315.
Повний текст джерелаDiederichs, Elmar. "Reinforcement Learning - A Technical Introduction." Journal of Autonomous Intelligence 2, no. 2 (August 19, 2019): 25. http://dx.doi.org/10.32629/jai.v2i2.45.
Повний текст джерелаAnderson, John R. "Methodologies for studying human knowledge." Behavioral and Brain Sciences 10, no. 3 (September 1987): 467–77. http://dx.doi.org/10.1017/s0140525x00023554.
Повний текст джерелаFoley, J. M., M. J. Wright, A. L. Gooding, M. Ettenhofer, M. Kim, M. Choi, S. A. Castellon, et al. "Operationalization of the updated diagnostic algorithm for classifying HIV-related cognitive impairment and dementia." International Psychogeriatrics 23, no. 5 (November 19, 2010): 835–43. http://dx.doi.org/10.1017/s1041610210002085.
Повний текст джерелаGonda, Dalibor, Viliam Ďuriš, Anna Tirpáková, and Gabriela Pavlovičová. "Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students." Mathematics 10, no. 20 (October 18, 2022): 3857. http://dx.doi.org/10.3390/math10203857.
Повний текст джерелаLee, Won Hee. "The Choice of Machine Learning Algorithms Impacts the Association between Brain-Predicted Age Difference and Cognitive Function." Mathematics 11, no. 5 (March 2, 2023): 1229. http://dx.doi.org/10.3390/math11051229.
Повний текст джерелаWahn, Basil, Laura Schmitz, Frauke Nora Gerster, and Matthias Weiss. "Offloading under cognitive load: Humans are willing to offload parts of an attentionally demanding task to an algorithm." PLOS ONE 18, no. 5 (May 19, 2023): e0286102. http://dx.doi.org/10.1371/journal.pone.0286102.
Повний текст джерелаAmoore, Louise, and Rita Raley. "Securing with algorithms: Knowledge, decision, sovereignty." Security Dialogue 48, no. 1 (December 12, 2016): 3–10. http://dx.doi.org/10.1177/0967010616680753.
Повний текст джерелаDangi, Siddharth, Amy L. Orsborn, Helene G. Moorman, and Jose M. Carmena. "Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces." Neural Computation 25, no. 7 (July 2013): 1693–731. http://dx.doi.org/10.1162/neco_a_00460.
Повний текст джерелаIonescu, Claudiu Gabriel, and Monica Licu. "Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review." Social Sciences 12, no. 8 (August 21, 2023): 465. http://dx.doi.org/10.3390/socsci12080465.
Повний текст джерелаДисертації з теми "Algorithme cognitif"
Calandra, Joséphine. "L'algorithmie cognitive et ses applications musicales." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUL148.
Повний текст джерелаThis 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.
Повний текст джерелаGinhac, 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.
Повний текст джерелаEl-Nainay, Mustafa Y. "Island Genetic Algorithm-based Cognitive Networks." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28297.
Повний текст джерелаPh. 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.
Повний текст джерелаBéler, 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.
Повний текст джерелаMäkeläinen, M. (Marko). "Algorithms for opportunistic load balancing cognitive engine." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201303011071.
Повний текст джерелаYhä 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.
Повний текст джерелаMariani, Andrea <1984>. "Spectrum Sensing Algorithms for Cognitive Radio Applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5615/.
Повний текст джерелаReje, Franzén Fanny, and 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.
Повний текст джерелаКниги з теми "Algorithme cognitif"
Algorithms, abstraction, and implementation: Levels of detail in cognitive science. London: Academic Press, 1992.
Знайти повний текст джерелаPerlovsky, Leonid, Ross Deming, and 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.
Повний текст джерелаCognitive search: Evolution, algorithms, and the brain. Cambridge, MA: MIT Press, 2012.
Знайти повний текст джерелаEsposito, Anna, Amir Hussain, Maria Marinaro, and Raffaele Martone, eds. Multimodal Signals: Cognitive and Algorithmic Issues. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00525-1.
Повний текст джерелаPinna, 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.
Повний текст джерелаFreudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Знайти повний текст джерелаTalvitie, Vesa. Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. London: Karnac, 2009.
Знайти повний текст джерелаRoss, Deming, Ilin Roman, and SpringerLink (Online service), eds. Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: FromVague to Crisp. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Знайти повний текст джерелаEnhancing cognitive assistance systems with inertial measurement units. Berlin: Springer, 2008.
Знайти повний текст джерела(Project), COST Action 2102, euCognition (Project), and COST Action 2102 and euCognition International School (2008 : Vietri sul Mare, Italy), eds. 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.
Знайти повний текст джерелаЧастини книг з теми "Algorithme cognitif"
Hausser, Roland. "Algorithm." In Computational Cognition, 21–36. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37499-9_2.
Повний текст джерелаFrühwirth, Thom, and Slim Abdennadher. "Algorithm = Logic + Control." In Cognitive Technologies, 7–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05138-2_2.
Повний текст джерелаKaur, Kiranjit, and Vijay Laxmi. "A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Machine Learning." In Cognitive Computing in Human Cognition, 49–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48118-6_5.
Повний текст джерелаDer, Ralf, and Georg Martius. "Algorithmic Implementation." In Cognitive Systems Monographs, 261–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20253-7_15.
Повний текст джерелаKaindl, H. "Tree Searching Algorithms." In 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.
Повний текст джерелаLeiser, David, and Christiane Gillièron. "The Extraction Algorithm beneath the Basic Algorithm." In Cognitive Science and Genetic Epistemology, 79–97. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-5649-3_5.
Повний текст джерелаFetzer, James H. "Mental Algorithms." In 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.
Повний текст джерелаConrardy, Céline, Roland de Guio, and Bruno Zuber. "Facetwise Study of Modelling Activities in the Algorithm for Inventive Problem Solving ARIZ and Evolutionary Algorithms." In Design Computing and Cognition ’10, 189–207. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0510-4_11.
Повний текст джерелаPalestro, James J., Per B. Sederberg, Adam F. Osth, Trisha Van Zandt, and Brandon M. Turner. "Likelihood-Free Algorithms." In 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.
Повний текст джерелаZenil, Hector, Fernando Soler Toscano, and Nicolas Gauvrit. "Algorithmic Complexity in Cognition." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Algorithme cognitif"
Carpenter, Steven, Xinming Yu, Melih Altun, James Graham, J. Jim Zhu, and Janusz Starzyk. "Vision Guided Motion Control of a Biomimetic Quadruped Robot: RoboCat." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63805.
Повний текст джерелаHuang, Shan, Haiyan Wang, Chengqi Xue, and Shuang Xia. "Icon Similarity Algorithm Based on Skeleton Comparison." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100963.
Повний текст джерелаAmanna, Ashwin, Matthew J. Price, Soumava Bera, Manik Gadhiok, and Jeffrey H. Reed. "Cognitive Engine Architecture for Railway Communications." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42011.
Повний текст джерелаGilg, Marc, Yaser Yousef, and Pascal Lorenz. "Using Image Processing Algorithms for Energy Efficient Routing Algorithm in Sensor Networks." In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.98.
Повний текст джерелаGuo, Yan, and Ning Li. "Cognitive beamforming algorithm." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057249.
Повний текст джерелаSaidala, Ravi Kumar, and Nagaraju Devarakonda. "The tornadogenesis optimization algorithm." In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109777.
Повний текст джерелаTeng, Zhiqiang, Haodong Chen, Qitao Hou, Wanbing Song, Chenchen Gu, and Ping Zhao. "Design of a Cognitive Rehabilitation System Based on Gesture Recognition." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23579.
Повний текст джерелаPaul, Padma Polash, and Marina Gavrilova. "Novel multimodal template generation algorithm." In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622228.
Повний текст джерелаRen, Qingchun, and Qilian Liang. "Performance Analysis of Energy Detection for Cognitive RadioWireless Networks." In 2007 International Conference on Wireless Algorithms, Systems and Applications. IEEE, 2007. http://dx.doi.org/10.1109/wasa.2007.17.
Повний текст джерелаAbbass, Hussein. "On the Role of Modelling and Simulation for Artificial Intelligence." In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0005.
Повний текст джерелаЗвіти організацій з теми "Algorithme cognitif"
Perlovsky, Leonid I. Cognitive Algorithms for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada546287.
Повний текст джерелаAnandkumar, Animashree, Nithin Michael, Ao K. Tang, and Ananthram Swami. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada524660.
Повний текст джерелаOleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4404.
Повний текст джерелаOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olesia O. Prokofieva, Olha V. Kovalova, and 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.], November 2020. http://dx.doi.org/10.31812/123456789/4413.
Повний текст джерелаPetrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka, and Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, July 2021. http://dx.doi.org/10.31812/123456789/4635.
Повний текст джерелаOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev, and 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, July 2020. http://dx.doi.org/10.31812/123456789/4633.
Повний текст джерела