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104
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PAMI
2006
147views more  PAMI 2006»
15 years 2 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
110
Voted
TNN
2008
181views more  TNN 2008»
15 years 2 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
117
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JCP
2007
86views more  JCP 2007»
15 years 2 months ago
Taking Multiple-Choise Quiz by SMS on Mobile Phones Including Analyzing Property
— Recently Mobile Learning (M-Learning) has attracted much attention. Due to advantages of SMS (Short Messaging Service) on mobile phones we present a safe and protected method f...
Mohammad Shirali-Shahreza
126
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JMLR
2002
102views more  JMLR 2002»
15 years 2 months ago
Optimal Structure Identification With Greedy Search
In this paper we prove the so-called "Meek Conjecture". In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequen...
David Maxwell Chickering
132
Voted
DATAMINE
1999
108views more  DATAMINE 1999»
15 years 2 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri