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JUCS
2008
130views more  JUCS 2008»
13 years 7 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
GCB
2004
Springer
113views Biometrics» more  GCB 2004»
14 years 1 months ago
Feature Based Representation and Detection of Transcription Factor Binding Sites
: The prediction of transcription factor binding sites is an important problem, since it reveals information about the transcriptional regulation of genes. A commonly used represen...
Rainer Pudimat, Ernst Günter Schukat-Talamazz...
KDD
2009
ACM
158views Data Mining» more  KDD 2009»
14 years 8 months ago
Feature shaping for linear SVM classifiers
: ? Feature Shaping for Linear SVM Classifiers George Forman, Martin Scholz, Shyamsundar Rajaram HP Laboratories HPL-2009-31R1 text classification machine learning, feature weighti...
George Forman, Martin Scholz, Shyamsundar Rajaram
INTERSPEECH
2010
13 years 2 months ago
Prominence detection in Swedish using syllable correlates
This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word ...
Samer Al Moubayed, Jonas Beskow
BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer