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Before he was affiliated as professor at [https://en.wikipedia.org/wiki/Monterrey_Institute_of_Technology_and_Higher_Education Monterrey Institute of Technology and Higher Education] (ITESM) – Campus [https://en.wikipedia.org/wiki/Morelos Morelos], and visiting professor at the [https://en.wikipedia.org/wiki/University_of_New_South_Wales University of New South Wales]. | Before he was affiliated as professor at [https://en.wikipedia.org/wiki/Monterrey_Institute_of_Technology_and_Higher_Education Monterrey Institute of Technology and Higher Education] (ITESM) – Campus [https://en.wikipedia.org/wiki/Morelos Morelos], and visiting professor at the [https://en.wikipedia.org/wiki/University_of_New_South_Wales University of New South Wales]. | ||
He obtained a M.Sc. in computer science on [https://en.wikipedia.org/wiki/Knowledge-based_systems Knowledge-based systems] from [[University of Edinburgh]] under advisor [[Mathematician#ABundy|Alan Bundy]], and a Ph.D. in ''First-Order Induction of Patterns in Chess'' from the [https://en.wikipedia.org/wiki/Turing_Institute Turing Institute] at [https://en.wikipedia.org/wiki/University_of_Strathclyde University of Strathclyde], [https://en.wikipedia.org/wiki/Glasgow Glasgow] <ref>[http://www.turingarchive.org/trust/ Turing Trust - Historical Note] by [[Donald Michie]]: "In association with the [https://en.wikipedia.org/wiki/University_of_Strathclyde University of Strathclyde], the Turing Institute hosted seven public lectures in the period 1985-93"</ref>, under advisor [[Tim Niblett]]. | He obtained a M.Sc. in computer science on [https://en.wikipedia.org/wiki/Knowledge-based_systems Knowledge-based systems] from [[University of Edinburgh]] under advisor [[Mathematician#ABundy|Alan Bundy]], and a Ph.D. in ''First-Order Induction of Patterns in Chess'' from the [https://en.wikipedia.org/wiki/Turing_Institute Turing Institute] at [https://en.wikipedia.org/wiki/University_of_Strathclyde University of Strathclyde], [https://en.wikipedia.org/wiki/Glasgow Glasgow] <ref>[http://www.turingarchive.org/trust/ Turing Trust - Historical Note] by [[Donald Michie]]: "In association with the [https://en.wikipedia.org/wiki/University_of_Strathclyde University of Strathclyde], the Turing Institute hosted seven public lectures in the period 1985-93"</ref>, under advisor [[Tim Niblett]]. | ||
| − | His research interests include [[Learning|machine learning]], [[Reinforcement Learning|reinforcement learning]], [[Deep Learning|deep | + | His research interests include [[Learning|machine learning]], [[Reinforcement Learning|reinforcement learning]], [[Deep Learning|deep learning]] and [[Robots|robotics]]. |
=PAL= | =PAL= | ||
Revision as of 11:34, 5 May 2019
Home * People * Eduardo F. Morales
Eduardo F. Morales [1]
Eduardo F. Morales,
a Mexican computer scientist and researcher at National Institute of Astrophysics, Optics and Electronics (Instituto Nacional de Astrofísica, Óptica y Electrónica, INAOE), San Andrés Cholula, Puebla.
Before he was affiliated as professor at Monterrey Institute of Technology and Higher Education (ITESM) – Campus Morelos, and visiting professor at the University of New South Wales.
He obtained a M.Sc. in computer science on Knowledge-based systems from University of Edinburgh under advisor Alan Bundy, and a Ph.D. in First-Order Induction of Patterns in Chess from the Turing Institute at University of Strathclyde, Glasgow [2], under advisor Tim Niblett.
His research interests include machine learning, reinforcement learning, deep learning and robotics.
Contents
PAL
Eduardo Morales is creator of the pattern-based first-order inductive systems PAL and PAL-2, that can learn patterns in the form of horn clauses from simple example descriptions and general purpose knowledge. The learning model is based on a constrained least general generalization algorithm to structure the hypothesis space and guide the learning process, and a pattern–based representation knowledge to constrain the construction of hypothesis. PAL can learn chess patterns which are beyond the learning capabilities of current inductive systems. The same pattern–based approach is used to learn qualitative models of simple dynamic systems and counterpoint rules for two–voice musical pieces [3] .
Selected Publications
1984 ...
- Eduardo F. Morales (1984). Information Technology: Knowledge-based Systems. M.Sc. thesis University of Edinburgh
1990 ...
- Eduardo F. Morales (1991). Learning Features by Experimentation in Chess. EWSL-91
- Eduardo F. Morales (1991). Learning Chess patterns. ILP 91
- Eduardo F. Morales (1992). Learning Chess Patterns. in Stephen Muggleton (ed.) (1992). Inductive Logic Programming. Academic Press
- Eduardo F. Morales (1992). First-Order Induction of Patterns in Chess. Ph.D. thesis, Turing Institute , University of Strathclyde, Glasgow
- Eduardo F. Morales (1994). Learning Patterns for Playing Strategies. ICCA Journal, Vol. 17, No. 1, pdf
- Eduardo F. Morales, Roberto Morales-Manzanares (1995). Learning Musical Rules. IJCAI-96 Workshop, Artificial Intelligence and Music
- Eduardo F. Morales (1996). Learning Playing Strategies in Chess. Computational Intelligence, Vol. 12, No. 1
- Eduardo F. Morales (1997). PAL: A Pattern-Based First-Order Inductive System. Machine Learning, Vol. 20, Nos. 2-3
- Eduardo F. Morales (1997). On Learning How to Play. Advances in Computer Chess 8
2000 ...
- Roberto Morales-Manzanares [7], Eduardo F. Morales, Roger Dannenberg, Jonathan Berger (2001). SICIB: An Interactive Music Composition System Using Body Movements. Computer Music Journal, Vol. 25, No. 2
- Carlos Eduardo Mariano, Eduardo F. Morales (2001). DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. ECML 2001, pdf
- Roger Luis, Luis Enrique Sucar, Eduardo F. Morales (2008). Transfer Learning for Bayesian Networks. IBERAMIA 2008
2010 ...
- Roger Luis, Luis Enrique Sucar, Eduardo F. Morales (2010). Inductive transfer for learning Bayesian networks. Machine Learning, Vol. 79, Nos. 1-2
- Ana Cristina Palacios-García, Angélica Muñoz-Meléndez, Eduardo F. Morales (2010). Collective Learning of Concepts using a Robot Team. ICINCO (2) 2010, pdf
- Julio H. Zaragoza, Eduardo F. Morales (2010). Relational Reinforcement Learning with Continuous Actions by Combining Behavioral Cloning and Locally Weighted Regression. Journal of Intelligent Systems and Applications, Vol. 2
- Luis Enrique Sucar, Eduardo F. Morales, Jesse Hoey (2012). Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. IGI Global
- Víctor Lobato-Ríos, Ana Cecilia Tenorio-González, Eduardo F. Morales (2017). Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network. MICAI 2017
- Ana Cristina Palacios-García, Eduardo F. Morales (2018). Automatic discovery of concepts and actions. Expert Systems with Applications, Vol. 92
External Links
References
- ↑ Eduardo F. Morales
- ↑ Turing Trust - Historical Note by Donald Michie: "In association with the University of Strathclyde, the Turing Institute hosted seven public lectures in the period 1985-93"
- ↑ Abstract of PAL: A Pattern-Based First-Order Inductive System from ACM DL
- ↑ Eduardo F. Morales - Selected Recent Publications
- ↑ ICGA Reference Database (pdf)
- ↑ blp: Eduardo F. Morales
- ↑ Space Scientists Find That Solar Wind Becomes Music In The Right Hands, Science Daily, April 21, 2006
