1406 search results - page 28 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
IJHPCA
2010
14 years 8 months ago
2010
In this paper, we analyze restrictions of traditional communication performance models affecting the accuracy of analytical prediction of the execution time of collective communic...
104
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BMCBI
2007
14 years 10 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
105
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AH
2008
Springer
15 years 14 hour ago
2008
Springer
Open learner models (OLM) are learner models that are accessible to the learner they represent. Many examples now exist, often with the aim of prompting learner reflection on their...
ICML
2010
IEEE
14 years 8 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
100
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PAMI
2006
14 years 10 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...