104 search results - page 7 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
NIPS
2003
13 years 9 months ago
2003
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
ICMI
2009
Springer
14 years 2 months ago
2009
Springer
One of many skills required to engage properly in a conversation is to know the appropiate use of the rules of engagement. In order to engage properly in a conversation, a virtual...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...