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COLT
2007
Springer
14 years 5 months ago
Mind Change Optimal Learning of Bayes Net Structure
Oliver Schulte, Wei Luo, Russell Greiner
COLT
2007
Springer
14 years 5 months ago
Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
Sivan Sabato, Shai Shalev-Shwartz
COLT
2007
Springer
14 years 5 months ago
Resource-Bounded Information Gathering for Correlation Clustering
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
Pallika Kanani, Andrew McCallum
COLT
2007
Springer
14 years 5 months ago
Generalised Entropy and Asymptotic Complexities of Languages
Abstract. In this paper the concept of asymptotic complexity of languages is introduced. This concept formalises the notion of learnability in a particular environment and generali...
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
COLT
2007
Springer
14 years 5 months ago
Multi-view Regression Via Canonical Correlation Analysis
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...
Sham M. Kakade, Dean P. Foster
COLT
2007
Springer
14 years 5 months ago
Learning Permutations with Exponential Weights
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
David P. Helmbold, Manfred K. Warmuth
COLT
2007
Springer
14 years 5 months ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo
COLT
2007
Springer
14 years 5 months ago
Transductive Rademacher Complexity and Its Applications
We present data-dependent error bounds for transductive learning based on transductive Rademacher complexity. For specific algorithms we provide bounds on their Rademacher complex...
Ran El-Yaniv, Dmitry Pechyony