Bücher zum Thema „Representation learning (artifical intelligence)“
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Pacific, Rim International Conference on Artificial Intelligence (4th 1996 Cairns Qld ). PRICAI '96: Topics in artificial intelligence : 4th Pacific Rim International Conference on Artificial Intelligence, Cairns, Australia, August 26-30, 1996 : proceedings. Berlin: Springer, 1996.
Den vollen Inhalt der Quelle findenBrighton, England) International Conference on Artificial Intelligence in Education (14th 2009. Artificial intelligence in education: Building learning systems that care : from knowledge representation to affective modelling. Amsterdam: IOS Press, 2009.
Den vollen Inhalt der Quelle finden1953-, Benjamin D. Paul, Hrsg. Change of representation and inductive bias. Boston: Kluwer Academic, 1990.
Den vollen Inhalt der Quelle findenAndrée, Tiberghien, Mandl Heinz und NATO Advanced Research Workshop on Knowledge Acquisition in the Domain of Physics and Intelligent Learning Environments (1990 : Lyon, France), Hrsg. Intelligent learning environments and knowledge acquisition in physics. Berlin: Springer-Verlag, 1992.
Den vollen Inhalt der Quelle findenTiberghien, Andrée. Intelligent Learning Environments and Knowledge Acquisition in Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.
Den vollen Inhalt der Quelle findenWorkshop on Reasoning with Incomplete and Changing Information (1996 Cairns, Qld.). Learning and reasoning with complex representations: PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations, Cairns, Australia, August 26-30, 1996 : selected papers. Berlin: Springer, 1998.
Den vollen Inhalt der Quelle findenFisseler, Jens. Learning and modeling with probabilistic conditional logic. Heidelberg: Ios Press, 2010.
Den vollen Inhalt der Quelle findenKR4HC 2009 (2009 Verona, Italy). Knowledge representation for health-care: Data, processes and guidelines : AIME 2009 workshop KR4HC 2009, Verona, Italy, July 19, 2009 : revised selected papers. Berlin: Springer, 2010.
Den vollen Inhalt der Quelle findenRiaño, David. Knowledge Representation for Health-Care: ECAI 2010 Workshop KR4HC 2010, Lisbon, Portugal, August 17, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Den vollen Inhalt der Quelle findenUnited States. National Aeronautics and Space Administration., Hrsg. Instructable autonomous agents: CSE-TR-193-94. [Washington, DC: National Aeronautics and Space Administration, 1994.
Den vollen Inhalt der Quelle findenBareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.
Den vollen Inhalt der Quelle findenLin, Yankai, Zhiyuan Liu und Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Den vollen Inhalt der Quelle findenLiu, Zhiyuan. Representation Learning for Natural Language Processing. Springer Nature, 2020.
Den vollen Inhalt der Quelle findenLin, Yankai, Zhiyuan Liu und Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Den vollen Inhalt der Quelle findenDi Maio, Paolad. Knowledge Representation for Debiasing. MTS Press, 2021. http://dx.doi.org/10.52844/slkrns1.
Der volle Inhalt der Quelle(Editor), Norman Foo, und Randy Goebel (Editor), Hrsg. Pricai '96: Topics in Artificial Intelligence : 4th Pacific Rim International Conference on Artificial Intelligence, Cairns, Australia, August 26-30, 1996 : Proce (Lecture Notes in Computer Science). Springer, 1996.
Den vollen Inhalt der Quelle findenGou, Jianping, Weihua Ou, Shaoning Zeng und Lan Du, Hrsg. Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-7263-5.
Der volle Inhalt der QuelleBenjamin, D. Paul. Change of Representation and Inductive Bias. Springer, 2011.
Den vollen Inhalt der Quelle findenBoden, Margaret A. 2. General intelligence as the Holy Grail. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0002.
Der volle Inhalt der Quelle(Editor), Jonathan Lawry, Jimi Shanahan (Editor) und Anca Ralescu (Editor), Hrsg. Modelling with Words: Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Springer, 2004.
Den vollen Inhalt der Quelle findenDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2015.
Den vollen Inhalt der Quelle findenDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2015.
Den vollen Inhalt der Quelle findenDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2017.
Den vollen Inhalt der Quelle findenDomingos, Pedro. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2018.
Den vollen Inhalt der Quelle findenDomingos, Pedro. The master algorithm: How the quest for the ultimate learning machine will remake our world. 2015.
Den vollen Inhalt der Quelle findenL'algoritmo definitivo: La macchina che impara da sola e il futuro del nostro mondo. Bollati Boringhieri, 2016.
Den vollen Inhalt der Quelle findenDomingos, Pedro. Verkhovnyĭ algoritm: Kak mashinnoe obuchenie izmenit nash mir. 2016.
Den vollen Inhalt der Quelle findenJackson, Stuart A. Connectionism and Vermont: From Truth Conditions to Weight Representations (Albex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Den vollen Inhalt der Quelle findenJackson, Stuart A. Connectionism and Meaning: From Truth Conditions to Weight Representations (Ablex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Den vollen Inhalt der Quelle finden(Editor), Ulrich Hoppe, Felisa Verdejo (Editor) und Judy Kay (Editor), Hrsg. Artifical Intelligence in Education: Shaping the Future of Learning Through Intelligent Technologies (Frontiers in Artificial Intelligence and Applications,). IOS Press, 2003.
Den vollen Inhalt der Quelle findenWard, Matt, und Bernard Marr. Artifical Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Wiley & Sons, Limited, John, 2019.
Den vollen Inhalt der Quelle findenCaselli, Tommaso, Eduard Hovy, Martha Palmer und Piek Vossen, Hrsg. Computational Analysis of Storylines. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108854221.
Der volle Inhalt der QuelleLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Den vollen Inhalt der Quelle findenLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Den vollen Inhalt der Quelle findenBareiss, Ray, und B. Chandrasekaran. Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning. Elsevier Science & Technology Books, 2014.
Den vollen Inhalt der Quelle findenThe Expected Knowledge: What can we know about anything and everything? Tiruchirappalli: Sivashanmugam Palaniappan, 2012.
Den vollen Inhalt der Quelle findenBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
Den vollen Inhalt der Quelle findenBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
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