Livros sobre o tema "Representation learning (artifical intelligence)"
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Veja os 38 melhores livros para estudos sobre o assunto "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.
Encontre o texto completo da fonteBrighton, 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.
Encontre o texto completo da fonte1953-, Benjamin D. Paul, ed. Change of representation and inductive bias. Boston: Kluwer Academic, 1990.
Encontre o texto completo da fonteAndrée, Tiberghien, Mandl Heinz e NATO Advanced Research Workshop on Knowledge Acquisition in the Domain of Physics and Intelligent Learning Environments (1990 : Lyon, France), eds. Intelligent learning environments and knowledge acquisition in physics. Berlin: Springer-Verlag, 1992.
Encontre o texto completo da fonteTiberghien, Andrée. Intelligent Learning Environments and Knowledge Acquisition in Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.
Encontre o texto completo da fonteWorkshop 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.
Encontre o texto completo da fonteFisseler, Jens. Learning and modeling with probabilistic conditional logic. Heidelberg: Ios Press, 2010.
Encontre o texto completo da fonteKR4HC 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.
Encontre o texto completo da fonteRiaño, 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.
Encontre o texto completo da fonteUnited States. National Aeronautics and Space Administration., ed. Instructable autonomous agents: CSE-TR-193-94. [Washington, DC: National Aeronautics and Space Administration, 1994.
Encontre o texto completo da fonteBareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.
Encontre o texto completo da fonteLin, Yankai, Zhiyuan Liu e Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Encontre o texto completo da fonteLiu, Zhiyuan. Representation Learning for Natural Language Processing. Springer Nature, 2020.
Encontre o texto completo da fonteLin, Yankai, Zhiyuan Liu e Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Encontre o texto completo da fonteDi Maio, Paolad. Knowledge Representation for Debiasing. MTS Press, 2021. http://dx.doi.org/10.52844/slkrns1.
Texto completo da fonte(Editor), Norman Foo, e Randy Goebel (Editor), eds. 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.
Encontre o texto completo da fonteGou, Jianping, Weihua Ou, Shaoning Zeng e Lan Du, eds. 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.
Texto completo da fonteBenjamin, D. Paul. Change of Representation and Inductive Bias. Springer, 2011.
Encontre o texto completo da fonteBoden, Margaret A. 2. General intelligence as the Holy Grail. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0002.
Texto completo da fonte(Editor), Jonathan Lawry, Jimi Shanahan (Editor) e Anca Ralescu (Editor), eds. 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.
Encontre o texto completo da fonteDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2015.
Encontre o texto completo da fonteDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2015.
Encontre o texto completo da fonteDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2017.
Encontre o texto completo da fonteDomingos, Pedro. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2018.
Encontre o texto completo da fonteDomingos, Pedro. The master algorithm: How the quest for the ultimate learning machine will remake our world. 2015.
Encontre o texto completo da fonteL'algoritmo definitivo: La macchina che impara da sola e il futuro del nostro mondo. Bollati Boringhieri, 2016.
Encontre o texto completo da fonteDomingos, Pedro. Verkhovnyĭ algoritm: Kak mashinnoe obuchenie izmenit nash mir. 2016.
Encontre o texto completo da fonteJackson, Stuart A. Connectionism and Vermont: From Truth Conditions to Weight Representations (Albex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Encontre o texto completo da fonteJackson, Stuart A. Connectionism and Meaning: From Truth Conditions to Weight Representations (Ablex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Encontre o texto completo da fonte(Editor), Ulrich Hoppe, Felisa Verdejo (Editor) e Judy Kay (Editor), eds. Artifical Intelligence in Education: Shaping the Future of Learning Through Intelligent Technologies (Frontiers in Artificial Intelligence and Applications,). IOS Press, 2003.
Encontre o texto completo da fonteWard, Matt, e Bernard Marr. Artifical Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Wiley & Sons, Limited, John, 2019.
Encontre o texto completo da fonteCaselli, Tommaso, Eduard Hovy, Martha Palmer e Piek Vossen, eds. Computational Analysis of Storylines. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108854221.
Texto completo da fonteLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Encontre o texto completo da fonteLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Encontre o texto completo da fonteBareiss, Ray, e B. Chandrasekaran. Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning. Elsevier Science & Technology Books, 2014.
Encontre o texto completo da fonteThe Expected Knowledge: What can we know about anything and everything? Tiruchirappalli: Sivashanmugam Palaniappan, 2012.
Encontre o texto completo da fonteBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
Encontre o texto completo da fonteBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
Encontre o texto completo da fonte