594 search results - page 67 / 119 » Feature Selection for Value Function Approximation Using Bay... |
108
Voted
EMNLP
2007
15 years 3 months ago
2007
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
118
Voted
RECOMB
2007
Springer
16 years 2 months ago
2007
Springer
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
158
click to vote
BMCBI
2007
15 years 2 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
124
Voted
ICCD
2001
IEEE
15 years 11 months ago
2001
IEEE
We present a simulation-based semi-formal veriļ¬cation method for sequential circuits described at the registertransfer level. The method consists of an iterative loop where cove...
174
Voted
AI
1998
Springer
15 years 1 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...