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CSCLP
2003
Springer
15 years 7 months ago
Learning Approximate Consistencies
ing Soft Constraints: Some Experimental Results on Fuzzy CSPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 Stefano Bi...
Arnaud Lallouet, Andrei Legtchenko, Thi-Bich-Hanh ...
CIKM
2008
Springer
15 years 3 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
123
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 7 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
LREC
2010
188views Education» more  LREC 2010»
15 years 3 months ago
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
Hai Zhao, Yan Song, Chunyu Kit
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 7 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas