82 search results - page 10 / 17 » Learning Selective Averaged One-Dependence Estimators for Pr... |
126
Voted
NIPS
2007
15 years 5 months ago
2007
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
123
Voted
ICPR
2000
IEEE
16 years 4 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
152
Voted
AROBOTS
1999
15 years 3 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
135
Voted
NIPS
2004
15 years 5 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
183
Voted
ICTAI
2010
IEEE
15 years 1 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...