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BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 2 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICML
2000
IEEE
14 years 8 months ago
A Boosting Approach to Topic Spotting on Subdialogues
We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
Kary Myers, Michael J. Kearns, Satinder P. Singh, ...
SP
2010
IEEE
140views Security Privacy» more  SP 2010»
13 years 11 months ago
Inspector Gadget: Automated Extraction of Proprietary Gadgets from Malware Binaries
Abstract—Unfortunately, malicious software is still an unsolved problem and a major threat on the Internet. An important component in the fight against malicious software is the...
Clemens Kolbitsch, Thorsten Holz, Christopher Krue...
IPMI
2011
Springer
12 years 11 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh