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ACSC
2005
IEEE
14 years 4 days ago
Gradiance On-Line Accelerated Learning
Gradiance On-Line Accelerated Learning GOAL is a system for creating and automatically grading homeworks, programming laboratories, and tests. Through the concept of root questi...
Jeffrey D. Ullman
HIS
2003
13 years 11 months ago
Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning
In this paper, we describe a cooperative transportation problem with two humanoid robots and introduce a machine learning approach to solving the problem. The difficulty of the ta...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
AMC
2007
138views more  AMC 2007»
13 years 10 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
PRICAI
2000
Springer
14 years 1 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
FLAIRS
2008
14 years 15 days ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...