159 search results - page 14 / 32 » Bayesian Networks Optimization Based on Induction Learning T... |
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JAIR
2010
14 years 6 months ago
2010
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
ILP
2004
Springer
15 years 5 months ago
2004
Springer
This paper focuses on inductive learning of recursive logical theories from a set of examples. This is a complex task where the learning of one predicate definition should be inter...
NIPS
2004
15 years 1 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
93
Voted
EURONGI
2005
Springer
15 years 5 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
110
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ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...