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ICML
2008
IEEE
16 years 7 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
HICSS
2002
IEEE
123views Biometrics» more  HICSS 2002»
15 years 11 months ago
Toward a Value Framework for Online Learning Systems
Many universities and private corporations are investing significant capital in online learning initiatives. Willingness on the part of the student to take part in online learning...
Yair Levy, Kenneth E. Murphy
ADVCS
2011
251views Database» more  ADVCS 2011»
14 years 6 months ago
Emergent Social Learning Networks in Organizations with Heterogeneous Agents
Two distinct learning mechanisms are considered for a population of agents who engage in decentralized search for the common optimum. An agent may choose to learn via innovation (...
Myong-Hun Chang
ECTEL
2009
Springer
15 years 4 months ago
CAMera for PLE
Successful self-regulated learning in a personalized learning environment (PLE) requires self-monitoring of the learner and reflection of learning behaviour. We introduce a tool ca...
Hans-Christian Schmitz, Maren Scheffel, Martin Fri...
COLT
2007
Springer
16 years 23 days ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak