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» Identifying Facts for TCBR
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AUTOMATICA
2008
51views more  AUTOMATICA 2008»
14 years 9 months ago
New method for identifying finite degree Volterra series
In this paper, the identification of a class of nonlinear systems which admits input-output maps described by a finite degree Volterra series is considered. In actual fact, it app...
Wael Suleiman, André Monin
CIKM
2011
Springer
13 years 9 months ago
Fact-based question decomposition for candidate answer re-ranking
Factoid questions often contain one or more assertions (facts) about their answers. However, existing question-answering (QA) systems have not investigated how the multiple facts ...
Aditya Kalyanpur, Siddharth Patwardhan, Branimir B...
COLING
2002
14 years 9 months ago
Applying an NVEF Word-Pair Identifier to the Chinese Syllable-to-Word Conversion Problem
Syllable-to-word (STW) conversion is important in Chinese phonetic input methods and speech recognition. There are two major problems in the STW conversion: (1) resolving the ambi...
Jia-Lin Tsai, Wen-Lian Hsu
BMCBI
2010
95views more  BMCBI 2010»
14 years 9 months ago
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso
Background: Single nucleotide polymorphism (SNP) based association studies aim at identifying SNPs associated with phenotypes, for example, complex diseases. The associated SNPs m...
Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichua...
BMCBI
2007
160views more  BMCBI 2007»
14 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...