5302 search results - page 103 / 1061 » Learning How to Separate |
122
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
111
Voted
AAMAS
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
109
click to vote
AAAI
1996
15 years 4 months ago
1996
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
118
click to vote
COLT
2001
Springer
15 years 8 months ago
2001
Springer
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
155
click to vote
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...