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TJS
2010
182views more  TJS 2010»
14 years 12 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
BMCBI
2008
141views more  BMCBI 2008»
15 years 1 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
COGSCI
2010
111views more  COGSCI 2010»
15 years 1 months ago
Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints?
many abstract categories (e.g., ``equivalence'') is innate. Although Plato argued with his contemporaries who advocated the empirical basis of knowledge, it was the Briti...
Vladimir Sloutsky
EOR
2007
165views more  EOR 2007»
15 years 1 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
JCP
2007
105views more  JCP 2007»
15 years 1 months ago
Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks
Abstract— The convergence of the wireline telecom, wireless telecom, and internet networks and the services they provide offers tremendous opportunities in services personalizati...
Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Ku...