149 search results - page 4 / 30 » Maximum Likelihood Learning of Conditional MTE Distributions |
ICML
2000
IEEE
14 years 6 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...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
ICRA
2010
IEEE
13 years 4 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 ...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
INFORMATICALT
2000
13 years 5 months ago
2000
Abstract. This paper deals with maximum likelihood and least square segmentation of autoregressive random sequences with abruptly changing parameters. Conditional distribution of t...