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» Learning to Select a Good Translation
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DAGM
2004
Springer
14 years 3 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ICC
2007
IEEE
150views Communications» more  ICC 2007»
14 years 1 months ago
ACE Spectrum of LDPC Codes and Generalized ACE Design
The construction of good, finite-length, LDPC codes is currently an attractive research area. Reducing attention to the Binary Erasure Channel (BEC), this problem translates into t...
Dejan Vukobratovic, Aleksandar Djurendic, Vojin Se...
ICML
2004
IEEE
14 years 10 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
ICML
2009
IEEE
14 years 10 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
INTERSPEECH
2010
13 years 4 months ago
A classifier-based target cost for unit selection speech synthesis trained on perceptual data
Our goal is to automatically learn a perceptually-optimal target cost function for a unit selection speech synthesiser. The approach we take here is to train a classifier on human...
Volker Strom, Simon King