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ICML
2004
IEEE
16 years 4 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
138
Voted
ICMLA
2009
15 years 1 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 7 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
167
Voted
ICALT
2006
IEEE
15 years 10 months ago
Domain Ontology for Personalized E-Learning in Educational Systems
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resourc...
José Manuel Gascueña, Antonio Fern&a...
131
Voted
ECTEL
2006
Springer
15 years 7 months ago
iCamp - The Educational Web for Higher Education
iCamp is an EC-funded research project in the area of Technology Enhanced Learning (TEL) that aims to support collaboration and social networking across systems, countries and disc...
Barbara Kieslinger, Fridolin Wild, Onur Ihsan Arsu...