323 search results - page 36 / 65 » Learning nonsingular phylogenies and hidden Markov models |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
NIPS
2007
13 years 10 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
ITS
2004
Springer
14 years 1 months ago
2004
Springer
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
RECOMB
2004
Springer
14 years 8 months ago
2004
Springer
Phylogenetic hidden Markov models (phylo-HMMs) have recently been proposed as a means for addressing a multispecies version of the ab initio gene prediction problem. These models ...