1036 search results - page 9 / 208 » Unsupervised Learning |
ACL
2010
13 years 8 months ago
2010
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
ALT
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
SPIESR
2004
13 years 11 months ago
2004
We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised disc...
NIPS
2007
13 years 11 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...