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» MILCS: a mutual information learning classifier system
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DELFI
2006
14 years 11 months ago
Mobile Learning is Coming of Age - What we have and what we still miss
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
Dirk Frohberg
PKDD
2009
Springer
117views Data Mining» more  PKDD 2009»
15 years 4 months ago
New Regularized Algorithms for Transductive Learning
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
Partha Pratim Talukdar, Koby Crammer
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
12 years 12 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
CLEF
2006
Springer
15 years 1 months ago
Using Machine Learning and Text Mining in Question Answering
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
Antonio Juárez-González, Alberto T&e...
IDA
2006
Springer
14 years 9 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...