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» Perceptual Learning and Abstraction in Machine Learning
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ICMLA
2009
13 years 6 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
PREMI
2005
Springer
14 years 2 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
TNN
2008
76views more  TNN 2008»
13 years 8 months ago
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ECTEL
2006
Springer
14 years 8 days ago
Production and Deployment of Educational Videogames as Assessable Learning Objects
Abstract. The generalization of game-based Learning Objects as serious learning material requires their integration into pre-existing e-learning infrastructure (systems and courses...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
ICAI
2004
13 years 10 months ago
Using Machine Learning Techniques for Stylometry
on of Abstracts, the University of Georgia, Athens 2003.
Ramyaa Congzhou He, Khaled Rasheed