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COLT
2007
Springer
15 years 10 months ago
Mind Change Optimal Learning of Bayes Net Structure
Oliver Schulte, Wei Luo, Russell Greiner
COLT
2007
Springer
15 years 10 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
15 years 10 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
15 years 10 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
15 years 10 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
109
Voted
COLT
2007
Springer
15 years 10 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
15 years 10 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
15 years 10 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