384 search results - page 22 / 77 » Learning Markov Network Structure with Decision Trees |
SIGIR
2003
ACM
14 years 2 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
IJCAI
2003
13 years 10 months ago
2003
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
ENGL
2007
13 years 8 months ago
2007
—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...