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IJCV
2000
86views more  IJCV 2000»
14 years 11 months ago
Statistical Learning Theory: A Primer
In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
Theodoros Evgeniou, Massimiliano Pontil, Tomaso Po...
ICASSP
2009
IEEE
15 years 6 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
ICALT
2006
IEEE
15 years 6 months ago
Preparing Proprietary Systems for Continuous Education e-Learning for Inter-Operability: Exporting to SCORM
This document describes the procedure followed to prepare an existing framework for e-learning, to make the contents, produced during many years, exportable to a no proprietary st...
Victor Manso, Roberto Romero, Carlos Palau
TIP
2008
185views more  TIP 2008»
14 years 11 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
BMCBI
2010
118views more  BMCBI 2010»
14 years 12 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...