518 search results - page 11 / 104 » Learning associative Markov networks |
177
Voted
ECAI
2004
Springer
15 years 11 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
243
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CORR
2010
Springer
15 years 1 days ago
2010
Springer
We consider a combinatorial generalization of the classical multi-armed bandit problem that is defined as follows. There is a given bipartite graph of M users and N M resources. F...
187
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AI
2006
Springer
15 years 5 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
147
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ISNN
2007
Springer
15 years 11 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
209
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CCECE
2006
IEEE
15 years 11 months ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...