654 search results - page 10 / 131 » TRUST-TECH based Methods for Optimization and Learning |
96
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
136
Voted
ISF
2010
14 years 9 months ago
2010
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
86
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
93
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
122
Voted
ECIR
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...