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» Large Margin Classification Using the Perceptron Algorithm
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AUSAI
2005
Springer
14 years 1 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
BIBE
2007
IEEE
120views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...
SIAMJO
2008
86views more  SIAMJO 2008»
13 years 7 months ago
On the Second-Order Feasibility Cone: Primal-Dual Representation and Efficient Projection
We study the second-order feasibility cone F = {y IRn : My gT y} for given data (M, g). We construct a new representation for this cone and its dual based on the spectral decompo...
Alexandre Belloni, Robert M. Freund
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
AAAI
2008
13 years 10 months ago
Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT
The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginal...
Hai Leong Chieu, Wee Sun Lee