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COLT
2006
Springer
15 years 10 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
ICALT
2009
IEEE
16 years 1 months ago
Towards a Flexible Intelligent Tutoring System for Argumentation
Supporting students in the acquisition of argumentation skills is an important goal of educational technology. However, there has not been much work done towards developing generi...
Frank Loll, Niels Pinkwart, Oliver Scheuer, Bruce ...
ICML
2008
IEEE
16 years 7 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ALT
2008
Springer
16 years 3 months ago
Numberings Optimal for Learning
This paper extends previous studies on learnability in non-acceptable numberings by considering the question: for which criteria which numberings are optimal, that is, for which nu...
Sanjay Jain, Frank Stephan
COLT
2007
Springer
16 years 28 days ago
U-Shaped, Iterative, and Iterative-with-Counter Learning
This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
John Case, Samuel E. Moelius