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» Boruta - A System for Feature Selection
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NLPRS
2001
Springer
14 years 2 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
14 years 4 months ago
Building a Better Similarity Trap with Statistically Improbable Features
One of the persistent topics in digital forensic research in recent years has been the problem of finding all things similar. Developed tools usually take on the form of similarit...
Vassil Roussev
SAINT
2006
IEEE
14 years 3 months ago
Filtering Features for a Composite Event Definition Language
This research has enhanced a distributed, rule-based application integration environment with a composite event definition language (CEDL) and detection system. CEDL builds on exi...
Susan Darling Urban, Ingrid Biswas, Suzanne W. Die...
CGI
2004
IEEE
14 years 1 months ago
Depicting Shape Features with Directional Strokes and Spotlighting
This paper presents a new algorithm and technique for rendering triangular surfaces in pen-and-ink edge-based strokes. Our technique integrates two very important illustration str...
Mario Costa Sousa, Faramarz F. Samavati, Meru Brun...
ESANN
2007
13 years 11 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató