Libros sobre el tema "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.
Buscar texto completoBrighton, 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.
Buscar texto completo1953-, Benjamin D. Paul, ed. Change of representation and inductive bias. Boston: Kluwer Academic, 1990.
Buscar texto completoAndrée, Tiberghien, Mandl Heinz y 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.
Buscar texto completoTiberghien, Andrée. Intelligent Learning Environments and Knowledge Acquisition in Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.
Buscar texto completoWorkshop 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.
Buscar texto completoFisseler, Jens. Learning and modeling with probabilistic conditional logic. Heidelberg: Ios Press, 2010.
Buscar texto completoKR4HC 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.
Buscar texto completoRiaño, 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.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Instructable autonomous agents: CSE-TR-193-94. [Washington, DC: National Aeronautics and Space Administration, 1994.
Buscar texto completoBareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.
Buscar texto completoLin, Yankai, Zhiyuan Liu y Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Buscar texto completoLiu, Zhiyuan. Representation Learning for Natural Language Processing. Springer Nature, 2020.
Buscar texto completoLin, Yankai, Zhiyuan Liu y Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.
Buscar texto completoDi Maio, Paolad. Knowledge Representation for Debiasing. MTS Press, 2021. http://dx.doi.org/10.52844/slkrns1.
Texto completo(Editor), Norman Foo y 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.
Buscar texto completoGou, Jianping, Weihua Ou, Shaoning Zeng y 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 completoBenjamin, D. Paul. Change of Representation and Inductive Bias. Springer, 2011.
Buscar texto completoBoden, 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(Editor), Jonathan Lawry, Jimi Shanahan (Editor) y 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.
Buscar texto completoDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2015.
Buscar texto completoDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2015.
Buscar texto completoDomingos, Pedro. Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books, Limited, 2017.
Buscar texto completoDomingos, Pedro. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, 2018.
Buscar texto completoDomingos, Pedro. The master algorithm: How the quest for the ultimate learning machine will remake our world. 2015.
Buscar texto completoL'algoritmo definitivo: La macchina che impara da sola e il futuro del nostro mondo. Bollati Boringhieri, 2016.
Buscar texto completoDomingos, Pedro. Verkhovnyĭ algoritm: Kak mashinnoe obuchenie izmenit nash mir. 2016.
Buscar texto completoJackson, Stuart A. Connectionism and Vermont: From Truth Conditions to Weight Representations (Albex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Buscar texto completoJackson, Stuart A. Connectionism and Meaning: From Truth Conditions to Weight Representations (Ablex Series in Artificial Intelligence). Ablex Publishing Corporation, 1997.
Buscar texto completo(Editor), Ulrich Hoppe, Felisa Verdejo (Editor) y 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.
Buscar texto completoWard, Matt y Bernard Marr. Artifical Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Wiley & Sons, Limited, John, 2019.
Buscar texto completoCaselli, Tommaso, Eduard Hovy, Martha Palmer y Piek Vossen, eds. Computational Analysis of Storylines. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108854221.
Texto completoLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Buscar texto completoLeondes, Cornelius T. Knowledge-Based Systems Techniques and Applications (4-Volume Set). Academic Press, 2000.
Buscar texto completoBareiss, Ray y B. Chandrasekaran. Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning. Elsevier Science & Technology Books, 2014.
Buscar texto completoThe Expected Knowledge: What can we know about anything and everything? Tiruchirappalli: Sivashanmugam Palaniappan, 2012.
Buscar texto completoBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
Buscar texto completoBareiss, 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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