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WSC
2007
13 years 10 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
HIS
2004
13 years 10 months ago
An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
Chih-Chin Lai, Ming-Chi Tsai
ECTEL
2010
Springer
13 years 6 months ago
How to Share and Reuse Learning Resources: The ARIADNE Experience
ARIADNE is a European foundation that aims to foster "Share and Reuse" of learning resources. To support this goal, ARIADNE has created an infrastructure for managing lea...
Joris Klerkx, Bram Vandeputte, Gonzalo Parra, Jos&...
ICML
2010
IEEE
13 years 6 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
ICML
2009
IEEE
13 years 6 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...