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NAACL
2003
14 years 11 months ago
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by ...
Dominic Widdows
CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
13 years 9 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
SAT
2010
Springer
172views Hardware» more  SAT 2010»
14 years 8 months ago
On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
Algorithms based on local search are popular for solving many optimization problems including the maximum satisfiability problem (MAXSAT). With regard to MAXSAT, the state of the ...
Denis Pankratov, Allan Borodin
BMCBI
2010
164views more  BMCBI 2010»
14 years 7 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
BMCBI
2005
85views more  BMCBI 2005»
14 years 9 months ago
Processing methods for differential analysis of LC/MS profile data
Background: Liquid chromatography coupled to mass spectrometry (LC/MS) has been widely used in proteomics and metabolomics research. In this context, the technology has been incre...
Mikko Katajamaa, Matej Oresic