8970 search results - page 108 / 1794 » Learning to Learn Causal Models |
158
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
134
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ESANN
2007
15 years 5 months ago
2007
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
123
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
133
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ML
2002
ACM
15 years 3 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
146
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...