2185 search results - page 193 / 437 » Active Learning with Statistical Models |
183
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
167
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JMLR
2008
15 years 6 months ago
2008
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
201
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ICMI
2004
Springer
15 years 11 months ago
2004
Springer
In this paper, we propose a multimodal system for detecting human activity and interaction patterns in a nursing home. Activities of groups of people are firstly treated as intera...
150
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NECO
2010
15 years 4 months ago
2010
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
168
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ACIIDS
2010
IEEE
15 years 9 months ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...