68 search results - page 3 / 14 » Mixtures of Conditional Maximum Entropy Models |
NIPS
1998
13 years 8 months ago
1998
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
JMLR
2010
13 years 2 months ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
ECSQARU
2009
Springer
14 years 2 months ago
2009
Springer
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...