3051 search results - page 187 / 611 » Learning Internal Representations |
146
Voted
AIIA
2007
Springer
15 years 9 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
136
Voted
ICMLA
2003
15 years 5 months ago
2003
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
134
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
131
Voted
JKM
2006
15 years 3 months ago
2006
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
127
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...