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» Modeling Signs Using Functional Data Analysis
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KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 2 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo
RSCTC
2004
Springer
150views Fuzzy Logic» more  RSCTC 2004»
15 years 7 months ago
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis
illion abstracts. Problem. How to find sentences that talk about protein-protein interactions? Example (Non-Interaction Sentence) All our data are consistent with models in which ...
Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorm...
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
15 years 7 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
ICML
2005
IEEE
16 years 2 months ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
SP
2010
IEEE
194views Security Privacy» more  SP 2010»
15 years 5 months ago
Identifying Dormant Functionality in Malware Programs
—To handle the growing flood of malware, security vendors and analysts rely on tools that automatically identify and analyze malicious code. Current systems for automated malwar...
Paolo Milani Comparetti, Guido Salvaneschi, Engin ...