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ACL
2000
13 years 6 months ago
Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are...
Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark ...
ECML
2007
Springer
13 years 11 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 4 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
TSD
2010
Springer
13 years 3 months ago
Using TectoMT as a Preprocessing Tool for Phrase-Based Statistical Machine Translation
Abstract. We present a systematic comparison of preprocessing techniques for two language pairs: English-Czech and English-Hindi. The two target languages, although both belonging ...
Daniel Zeman
IMAGING
2004
13 years 6 months ago
Testing HDR Image Rendering Algorithms
Eight high-dynamic-range image rendering algorithms were tested using ten high-dynamic-range pictorial images. A large-scale paired comparison psychophysical experiment was develo...
Jiangtao Kuang, Hiroshi Yamaguchi, Garrett M. John...