135 search results - page 20 / 27 » Discriminative Sample Selection for Statistical Machine Tran... |
119
Voted
EMNLP
2007
15 years 5 months ago
2007
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
145
Voted
ESANN
2008
15 years 5 months ago
2008
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
130
Voted
COLT
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
154
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
202
Voted
AAAI
2011
14 years 3 months ago
2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...