2518 search results - page 451 / 504 » Machine learning in sedimentation modelling |
161
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NIPS
2004
15 years 5 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
144
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UAI
2003
15 years 5 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
168
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CORR
2006
Springer
15 years 4 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
153
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
134
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WWW
2009
ACM
16 years 5 months ago
2009
ACM
Understanding the intent behind a user's query can help search engine to automatically route the query to some corresponding vertical search engines to obtain particularly re...