2348 search results - page 219 / 470 » Stochastic Mapping Frameworks |
132
Voted
ILP
2000
Springer
15 years 8 months ago
2000
Springer
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
137
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RECOMB
2000
Springer
15 years 8 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
159
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
127
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IJCAI
2007
15 years 6 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
127
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SODA
2008
ACM
15 years 6 months ago
2008
ACM
This paper studies an extension of the k-median problem where we are given a metric space (V, d) and not just one but m client sets {Si V }m i=1, and the goal is to open k facili...