8970 search results - page 332 / 1794 » Learning to Learn Causal Models |
157
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
176
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AAAI
2010
15 years 8 months ago
2010
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
189
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
193
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
204
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ECCV
2010
Springer
15 years 11 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...