508 search results - page 83 / 102 » Learning for stochastic dynamic programming |
122
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
104
Voted
IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
107
Voted
EMNLP
2004
15 years 3 months ago
2004
We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...