2914 search results - page 310 / 583 » Learning and Inference with Constraints |
201
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
198
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
173
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
174
click to vote
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
167
click to vote
KDD
2008
ACM
16 years 7 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...