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» Active Learning with Model Selection in Linear Regression
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SETN
2010
Springer
15 years 6 months ago
Feature Selection for Improved Phone Duration Modeling of Greek Emotional Speech
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
Alexandros Lazaridis, Todor Ganchev, Iosif Mporas,...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 1 days ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
82
Voted
AUSAI
2009
Springer
15 years 6 months ago
MML Invariant Linear Regression
Abstract. This paper derives two new information theoretic linear regression criteria based on the minimum message length principle. Both criteria are invariant to full rank affine...
Daniel F. Schmidt, Enes Makalic
ICML
2008
IEEE
16 years 13 days ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...
94
Voted
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 1 days ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich