265 search results - page 29 / 53 » Efficient Piecewise Learning for Conditional Random Fields |
168
click to vote
AAAI
2008
15 years 8 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
183
Voted
NIPS
2008
15 years 7 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
181
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
166
click to vote
CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
172
click to vote
NIPS
2004
15 years 7 months ago
2004
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...