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» Combining Theorem Proving with Natural Language Processing
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68
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JMLR
2010
88views more  JMLR 2010»
14 years 4 months ago
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan...
95
Voted
TAMC
2010
Springer
15 years 2 months ago
Incremental List Coloring of Graphs, Parameterized by Conservation
Incrementally k-list coloring a graph means that a graph is given by adding stepwise one vertex after another, and for each intermediate step we ask for a vertex coloring such that...
Sepp Hartung, Rolf Niedermeier
72
Voted
MICCAI
2000
Springer
15 years 1 months ago
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed,...
Bostjan Likar, Max A. Viergever, Franjo Pernus
FSMNLP
2005
Springer
15 years 3 months ago
German Compound Analysis with wfsc
Compounding is a very productive process in German to form complex nouns and adjectives which represent about 7% of the words of a newspaper text. Unlike English, German compounds ...
Anne Schiller
NLPRS
2001
Springer
15 years 2 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce