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152
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ACL
2008
15 years 5 months ago
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Jakob Uszkoreit, Thorsten Brants
158
Voted
AIPR
2002
IEEE
15 years 9 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
129
Voted
AUSAI
2009
Springer
15 years 10 months ago
Modelling Object Typicality in Description Logics
Abstract. We present a semantic model of typicality of concept members in description logics that accords well with a binary, globalist cognitive model of class membership and typi...
Katarina Britz, Johannes Heidema, Thomas Andreas M...
ATAL
2007
Springer
15 years 10 months ago
Modular interpreted systems
We propose a new class of representations that can be used for modeling (and model checking) temporal, strategic and epistemic properties of agents and their teams. Our representa...
Wojciech Jamroga, Thomas Ågotnes
NIPS
2008
15 years 5 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...