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» On Combining Dissimilarity Representations
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NIPS
2008
13 years 9 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
EACL
2006
ACL Anthology
13 years 9 months ago
Classifying Biological Full-Text Articles for Multi-Database Curation
In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title ract, MeSH terms, and ca...
Wen-Juan Hou, Chih Lee, Hsin-Hsi Chen
NAACL
2004
13 years 9 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
JISBD
2003
13 years 9 months ago
Using Contextual Logic Programming for Temporal Reasoning
The importance of temporal representation and reasoning is well known to the database community. Examples of such significance are the languages TSQL2 and its follow up, SQL/Tempo...
Vítor Nogueira, Salvador Abreu, Gabriel Dav...
WSC
1997
13 years 9 months ago
The Four Phase Method for Modelling Complex Systems
This paper investigates an attempt to combine different simulation tools in order to build a simulation environment that can be used to model complex system behaviour. The compone...
Hamad I. Odhabi, Ray J. Paul, Robert D. Macredie