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» Machine Learning, Neural and Statistical Classification
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BMCBI
2007
207views more  BMCBI 2007»
14 years 9 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
BMCBI
2010
133views more  BMCBI 2010»
14 years 9 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
WWW
2007
ACM
15 years 10 months ago
Identifying and discriminating between web and peer-to-peer traffic in the network core
Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...
HICSS
1998
IEEE
176views Biometrics» more  HICSS 1998»
15 years 2 months ago
Intelligent System for Reading Handwriting on Forms
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
Michael D. Garris
CMS
2010
207views Communications» more  CMS 2010»
14 years 10 months ago
Statistical Detection of Malicious PE-Executables for Fast Offline Analysis
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
Ronny Merkel, Tobias Hoppe, Christian Krätzer...