1760 search results - page 140 / 352 » Learning from Partial Observations |
199
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
143
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ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
126
Voted
FLAIRS
2003
15 years 5 months ago
2003
We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM , merging various AI techniques, in particular, agents, ontology, production systems...
146
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AGI
2011
14 years 7 months ago
2011
The ability to identify novel patterns in observations is an essential aspect of intelligence. In a computational framework, the notion of a pattern can be formalized as a program ...
147
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BMCBI
2005
15 years 3 months ago
2005
Background: In expressed sequence tag (EST) sequencing, we are often interested in how many genes we can capture in an EST sample of a targeted size. This information provides ins...