2295 search results - page 131 / 459 » Learning Overcomplete Representations |
70
Voted
AAAI
1998
15 years 2 months ago
1998
The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
121
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
138
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CLEF
2011
Springer
14 years 16 days ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
124
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
114
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...