ALT
2009
Springer
13 years 7 months ago
2009
Springer
ALT
2009
Springer
13 years 7 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
ALT
2009
Springer
13 years 9 months ago
2009
Springer
In this paper the sequential prediction problem with expert advice is considered for the case when the losses of experts suffered at each step can be unbounded. We present some mo...
ALT
2009
Springer
13 years 9 months ago
2009
Springer
ALT
2009
Springer
13 years 11 months ago
2009
Springer
ALT
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. The paper considers the problem of semi-supervised multiview classification, where each view corresponds to a Reproducing Kernel Hilbert Space. An algorithm based on co-...
ALT
2009
Springer
14 years 1 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
ALT
2009
Springer
14 years 1 months ago
2009
Springer
We present a family of adaptive pairwise tournaments that are provably robust against large error fractions when used to determine the largest element in a set. The tournaments use...
ALT
2009
Springer
14 years 1 months ago
2009
Springer
ALT
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...