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ICML
2005
IEEE
16 years 8 months ago
A comparison of tight generalization error bounds
We investigate the empirical applicability of several bounds (a number of which are new) on the true error rate of learned classifiers which hold whenever the examples are chosen ...
John Langford, Matti Kääriäinen

Publication
352views
16 years 3 months ago
Efficient methods for near-optimal sequential decision making under uncertainty
This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal se...
Christos Dimitrakakis
ICWE
2004
Springer
16 years 1 months ago
Automating Standards-Based Courseware Development Using UML
Abstract. In this paper we discuss the automatic construction of webbased courseware applications from XML descriptions of appropriate UML models. The created applications conform ...
Andreas Papasalouros, Symeon Retalis, Nikolaos Pap...
ECAL
2003
Springer
16 years 25 days ago
Language Games with Mixed Populations
This paper presents an adaptation of Luc Steels’s model of Category Formation and Language Sharing. The simple competitive learning algorithm is proposed as a more general means ...
Michael Lewin, Emmet Spier
COLT
2006
Springer
15 years 11 months ago
The Rademacher Complexity of Linear Transformation Classes
Bounds are given for the empirical and expected Rademacher complexity of classes of linear transformations from a Hilbert space H to a ...nite dimensional space. The results imply ...
Andreas Maurer