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SAC
2005
ACM
14 years 3 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
AR
2004
57views more  AR 2004»
13 years 10 months ago
Experimental analysis of gas-sensitive Braitenberg vehicles
Abstract. This article addresses the problem of localising a static gas source in an indoor environment by a mobile robot. In contrast to previous works, the environment is not art...
Achim J. Lilienthal, Tom Duckett
CEC
2010
IEEE
13 years 10 months ago
Coevolutionary Temporal Difference Learning for small-board Go
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Krzysztof Krawiec, Marcin Szubert
HICSS
2003
IEEE
164views Biometrics» more  HICSS 2003»
14 years 3 months ago
From Computer Networks to Agent Networks
From the 1990s on, one of the most important challenges facing computer science researchers has been the design and construction of software tools to exploit Internet computing. A...
Guoqiang Zhong, Kenichi Takahashi, Satoshi Amamiya...
ICCBR
2009
Springer
14 years 4 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...