370 search results - page 53 / 74 » Learning to rank from Bayesian decision inference |
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— We address the problem of foothold selection in robotic legged locomotion over very rough terrain. The difficulty of the problem we address here is comparable to that of human...
COLING
2000
13 years 9 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
CAV
2012
Springer
11 years 10 months ago
2012
Springer
An algorithmic-learning-based termination analysis technique is presented. The new technique combines transition predicate abstraction, algorithmic learning, and decision procedure...