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COLT
1992
Springer
15 years 10 months ago
Learning Switching Concepts
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Avrim Blum, Prasad Chalasani
ECML
2006
Springer
15 years 10 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
ICMLA
2009
15 years 4 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
ICML
2005
IEEE
16 years 7 months ago
Intrinsic dimensionality estimation of submanifolds in Rd
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
Matthias Hein, Jean-Yves Audibert
ALS
2003
Springer
15 years 12 months ago
Whose Anticipations?
The central question in this paper is: Who (or what) constructs anticipations? I challenge the (tacit) assumption of Rosen’s standard definition of anticipatory systems according...
Alexander Riegler