1436 search results - page 98 / 288 » Using Machine Learning Techniques to Interpret WH-questions |
102
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
138
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IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
116
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ML
2010
ACM
14 years 12 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
188
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...