231 search results - page 46 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
ATAL
2005
Springer
13 years 11 months ago
2005
Springer
Agents or agent teams deployed to assist humans often face the challenges of monitoring the state of key processes in their environment (including the state of their human users t...
TVCG
2010
13 years 3 months ago
2010
—It remains challenging for information visualization novices to rapidly construct visualizations during exploratory data analysis. We conducted an exploratory laboratory study i...
IJRR
2011
13 years 8 days ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
LOCA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
NIPS
1998
13 years 6 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...