2088 search results - page 223 / 418 » The Probabilistic Method |
146
Voted
ROMAN
2007
IEEE
15 years 10 months ago
2007
IEEE
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
146
click to vote
APN
2007
Springer
15 years 9 months ago
2007
Springer
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
131
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
120
Voted
CVPR
2006
IEEE
15 years 9 months ago
2006
IEEE
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
155
Voted
ICVS
1999
Springer
15 years 8 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...