104 search results - page 9 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
JAIR
2010
13 years 6 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
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 ...