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» Abduction in Classification Tasks
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JMLR
2006
132views more  JMLR 2006»
13 years 8 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
PR
2006
141views more  PR 2006»
13 years 8 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
BMCBI
2005
251views more  BMCBI 2005»
13 years 8 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2005
117views more  BMCBI 2005»
13 years 8 months ago
An evaluation of GO annotation retrieval for BioCreAtIvE and GOA
Background: The Gene Ontology Annotation (GOA) database http://www.ebi.ac.uk/GOA aims to provide high-quality supplementary GO annotation to proteins in the UniProt Knowledgebase....
Evelyn Camon, Daniel Barrell, Emily Dimmer, Vivian...
DATAMINE
2002
147views more  DATAMINE 2002»
13 years 8 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...