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» Gaussian Processes in Machine Learning
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EWRL
2008
15 years 2 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin
ICML
2009
IEEE
16 years 1 months ago
Identifying suspicious URLs: an application of large-scale online learning
This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based features of the associated URLs. W...
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...
ICML
2003
IEEE
16 years 1 months ago
Relational Instance Based Regression for Relational Reinforcement Learning
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
Kurt Driessens, Jan Ramon
ECML
2007
Springer
15 years 6 months ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
102
Voted
ICALT
2007
IEEE
15 years 2 months ago
Analyzing the Motivation of the Students in the Art Faculty for Learning Programming
In order to analyze the factors that raise the motivation of students in the art design faculty and digital design faculty to learn programming, a programming course using Process...
Yasuhiro Takemura, Hideo Nagumo, Hidekuni Tsukamot...