723 search results - page 45 / 145 » Learning a Hidden Subgraph |
JMLR
2012
11 years 11 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— In this study, we address the durability of the brain, which is able to operate in various imperfect situations. In our previous research, we have proposed a new network struct...
ADMI
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
NIPS
2004
13 years 10 months ago
2004
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...
ESWA
2007
13 years 8 months ago
2007
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...