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» Intrinsically Motivated Machines
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ICML
2008
IEEE
14 years 8 months ago
An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...
Percy Liang, Michael I. Jordan
ICML
2004
IEEE
14 years 8 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
ICML
2009
IEEE
14 years 2 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski
ICALT
2007
IEEE
14 years 2 months ago
Personality and collaborative learning experience
This paper explored whether a consideration of the personality type of each learner would extend collaborative learning experiences under a distant learning or e-learning environm...
Amal Al-Dujaily, Hokyoung Ryu
ICALT
2006
IEEE
14 years 2 months ago
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System
Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based l...
Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puu...