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ICASSP
2010
IEEE
8 years 5 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...
AAAI
2007
8 years 9 months ago
Measuring the Uncertainty of Differences for Contrasting Groups
: In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can de...
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong...
CG
2000
Springer
8 years 11 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
9 years 26 days ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
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