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» Learning and Applying Competitive Strategies
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ICML
1999
IEEE
16 years 1 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
105
Voted
NN
2006
Springer
140views Neural Networks» more  NN 2006»
15 years 14 days ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
126
Voted
KSEM
2009
Springer
15 years 7 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
120
Voted
JSAC
2007
104views more  JSAC 2007»
15 years 13 days ago
Price dynamics in competitive agile spectrum access markets
— We explore the price dynamics in a competitive market consisting of spectrum agile network service providers and users. Here, multiple self interested spectrum providers operat...
Yiping Xing, Rajarathnam Chandramouli, Carlos de M...
74
Voted
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 17 days ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk