869 search results - page 94 / 174 » An Effective Learning Method for Max-Min Neural Networks |
130
click to vote
NIPS
1996
15 years 5 months ago
1996
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
142
click to vote
IDEAL
2004
Springer
15 years 9 months ago
2004
Springer
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
146
click to vote
GRC
2010
IEEE
15 years 5 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
175
click to vote
NIPS
1998
15 years 5 months ago
1998
We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
115
click to vote
JMLR
2010
14 years 10 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...