824 search results - page 131 / 165 » Learning probabilistic logic models from probabilistic examp... |
119
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NIPS
2004
15 years 5 months ago
2004
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
134
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BMCBI
2006
15 years 3 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
132
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IJRR
2011
14 years 10 months ago
2011
We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily compl...
120
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ECCV
2000
Springer
16 years 5 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
149
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ICFEM
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. We develop a way of analyzing the behavior of systems modeled using Discrete Time Markov Chains (DTMC). Specifically, we define iLTL, an LTL with linear inequalities on...