4773 search results - page 139 / 955 » Learning from Uncertain Data |
HUC
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
ICTAI
2010
IEEE
13 years 8 months ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
WEBI
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
ICML
2007
IEEE
14 years 11 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...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
Learning agents can improve performance cooperating with other agents, particularly learning agents forming a committee outperform individual agents. This "ensemble effect&qu...