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IJCNN
2006
IEEE
15 years 4 months ago
Preparing More Effective Liquid State Machines Using Hebbian Learning
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
David Norton, Dan Ventura
IWC
2002
121views more  IWC 2002»
14 years 9 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 23 days ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ICALT
2006
IEEE
15 years 4 months ago
An Approach for Detecting Learning Styles in Learning Management Systems
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
Sabine Graf, Kinshuk
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 10 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih