1419 search results - page 215 / 284 » Approximation Methods for Supervised Learning |
IJCAI
2007
13 years 11 months ago
2007
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
AAAI
2011
12 years 10 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
CVPR
2007
IEEE
15 years 13 hour ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
CVPR
2007
IEEE
15 years 13 hour ago
2007
IEEE
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
CHI
2009
ACM
14 years 10 months ago
2009
ACM
Knowing the intent of a search query allows for more intelligent ways of retrieving relevant search results. Most of the recent work on automatic detection of query intent uses su...