1864 search results - page 127 / 373 » Modeling Classification and Inference Learning |
130
Voted
AAAI
2008
15 years 3 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
103
Voted
IROS
2008
IEEE
15 years 7 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
107
Voted
JMLR
2010
14 years 7 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
142
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FOIKS
2008
Springer
15 years 9 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
127
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...