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ALT
2010
Springer
9 years 3 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
AAAI
2008
9 years 4 months ago
Online Learning in Monkeys
We examine online learning in the context of the Wisconsin Card Sorting Task (WCST), a task for which the concept acquisition strategies for human and other primates are well docu...
Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki C...

Publication
252views
9 years 5 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
COLT
2006
Springer
9 years 6 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
C5
2004
IEEE
9 years 6 months ago
Enabling Social Dimensions of Learning through a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environm
Existing online learning experiences lack the social dimension that characterizes learning in the real world. This social dimension extends beyond the traditional classroom into t...
Julian Lombardi, Mark P. McCahill
COLT
1999
Springer
9 years 6 months ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
ITICSE
1999
ACM
9 years 6 months ago
Who wants to learn online?
A study of how different groups of people find the experience of flexible online learning. A first year course in Internet and Web Design is offered to a diverse range of students...
Stuart Young, Ross Dewstow, Mae McSporran
HICSS
2002
IEEE
123views Biometrics» more  HICSS 2002»
9 years 7 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
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
9 years 7 months ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire
HICSS
2003
IEEE
120views Biometrics» more  HICSS 2003»
9 years 7 months ago
Evaluating On-line Learning Platforms: a Case Study
Our “information-oriented” society shows an increasing exigency of life-long learning. In such framework, online Learning is becoming an important tool to allow the flexibilit...
Francesco Colace, Massimo De Santo, Mario Vento
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