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ALT
2002
Springer
16 years 2 months ago
The Complexity of Learning Concept Classes with Polynomial General Dimension
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
Johannes Köbler, Wolfgang Lindner
ISSAC
2009
Springer
123views Mathematics» more  ISSAC 2009»
16 years 12 days ago
Schemes for deterministic polynomial factoring
In this work we relate the deterministic complexity of factoring polynomials (over finite fields) to certain combinatorial objects, we call m-schemes, that are generalizations o...
Gábor Ivanyos, Marek Karpinski, Nitin Saxen...
IWPEC
2009
Springer
16 years 12 days ago
Paths of Bounded Length and Their Cuts: Parameterized Complexity and Algorithms
We study the parameterized complexity of two families of problems: the bounded length disjoint paths problem and the bounded length cut problem. From Menger’s theorem both proble...
Petr A. Golovach, Dimitrios M. Thilikos
COLT
2000
Springer
15 years 10 months ago
Entropy Numbers of Linear Function Classes
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
CDC
2009
IEEE
158views Control Systems» more  CDC 2009»
15 years 9 months ago
Multiple target detection using Bayesian learning
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jer...