1310 search results - page 67 / 262 » Progressive Optimization in Action |
151
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
145
click to vote
DAGM
2006
Springer
15 years 8 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
142
click to vote
AAAI
1998
15 years 5 months ago
1998
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
142
click to vote
AAAI
2010
15 years 5 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
145
click to vote
IAT
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...