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» On Kernel Methods for Relational Learning
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126
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ICIP
2007
IEEE
15 years 10 months ago
Learning Appearance Primitives of Iris Images for Ethnic Classification
Iris pattern is commonly regarded as a kind of phenotypic feature without relation to genes. In our previous work, we argued that iris texture is race related, and its genetic inf...
Xianchao Qiu, Zhenan Sun, Tieniu Tan
114
Voted
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 7 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
ICML
2009
IEEE
16 years 4 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
118
Voted
LREC
2008
104views Education» more  LREC 2008»
15 years 5 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...
143
Voted
NIPS
2001
15 years 5 months ago
A Variational Approach to Learning Curves
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
Dörthe Malzahn, Manfred Opper