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131
Voted
AAAI
1994
15 years 5 months ago
1994
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
163
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AAAI
2008
15 years 6 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
128
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APIN
1999
15 years 3 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
122
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ICNP
2007
IEEE
15 years 10 months ago
2007
IEEE
—We propose a new probabilistic coverage protocol (denoted by PCP) that considers probabilistic sensing models. PCP is fairly general and can be used with different sensing model...
142
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ILP
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Logic Programs with Annotated Disjunctions (LPADs) provide a simple and elegant framework for integrating probabilistic reasoning and logic programming. In this paper we ...