2082 search results - page 72 / 417 » Using model knowledge for learning inverse dynamics |
AAAI
2007
13 years 11 months ago
2007
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
NIPS
1993
13 years 10 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
DEXAW
1997
IEEE
14 years 29 days ago
1997
IEEE
This paper proposes a system which eases the job of entering and sharing expert analysis on a database system, with emphasis to pictorial and document information. With this syste...
NN
1997
Springer
14 years 27 days ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...