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» Unsupervised Learning of Generalized Names
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IJCAI
2001
14 years 11 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
69
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EUROCRYPT
2001
Springer
15 years 2 months ago
Priced Oblivious Transfer: How to Sell Digital Goods
Abstract. We consider the question of protecting the privacy of customers buying digital goods. More specifically, our goal is to allow a buyer to purchase digital goods from a ve...
William Aiello, Yuval Ishai, Omer Reingold
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 1 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
CONNECTION
2010
144views more  CONNECTION 2010»
14 years 7 months ago
The roles of the amygdala in the affective regulation of body, brain, and behaviour
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
CIKM
2009
Springer
15 years 4 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan