1185 search results - page 185 / 237 » Bayesian Structure from Motion |
119
Voted
BIBM
2008
IEEE
15 years 9 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
138
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NIPS
1998
15 years 3 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
134
Voted
ICML
2010
IEEE
15 years 13 days 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 ...
112
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ICMLA
2009
15 years 6 days ago
2009
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
132
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ICRA
2005
IEEE
15 years 8 months ago
2005
IEEE
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...