1419 search results - page 76 / 284 » Approximation Methods for Supervised Learning |
IJCAI
1997
13 years 11 months ago
1997
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
JMLR
2010
13 years 4 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
ICRA
2008
IEEE
14 years 4 months ago
2008
IEEE
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
NIPS
2004
13 years 11 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
IJON
2008
13 years 10 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...