247 search results - page 24 / 50 » Predicting Success in Machine Translation |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
VLSISP
2011
13 years 2 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
JMLR
2010
13 years 2 months ago
2010
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...