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DSMML
2004
Springer
13 years 11 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington
DSMML
2004
Springer
13 years 11 months ago
Efficient Communication by Breathing
The arithmetic-coding-based communication system, Dasher, can be driven by a one-dimensional continuous signal. A belt-mounted breath-mouse, delivering a signal related to lung vol...
Tom Shorrock, David MacKay, Chris Ball
CCS
2006
ACM
13 years 11 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
COLT
2004
Springer
13 years 11 months ago
The Budgeted Multi-armed Bandit Problem
straction of the following scenarios: choosing from among a set of alternative treatments after a fixed number of clinical trials, determining the best parameter settings for a pro...
Omid Madani, Daniel J. Lizotte, Russell Greiner
COLT
2004
Springer
13 years 11 months ago
Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
Peter Grünwald, John Langford
COLT
2004
Springer
13 years 11 months ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont
COLT
2004
Springer
13 years 11 months ago
Minimizing Regret with Label Efficient Prediction
We investigate label efficient prediction, a variant, proposed by Helmbold and Panizza, of the problem of prediction with expert advice. In this variant, the forecaster, after gues...
Nicolò Cesa-Bianchi, Gábor Lugosi, G...
COLT
2004
Springer
13 years 11 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
COLT
2004
Springer
13 years 11 months ago
Oracle Bounds and Exact Algorithm for Dyadic Classification Trees
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
Gilles Blanchard, Christin Schäfer, Yves Roze...