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» Problems of learning in multi-agent systems
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IFIP12
2008
14 years 18 days ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
14 years 4 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
EUSFLAT
2003
109views Fuzzy Logic» more  EUSFLAT 2003»
14 years 16 days ago
Diagnosis of dermatological diseases by a neuro-fuzzy system
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
ICASSP
2011
IEEE
13 years 2 months ago
Collaborative system for signal processing education
In this paper we present a collaborative system designed to develop problem solving skills in learners through problemcentric exercises. This system is part of a data collection s...
Gregory A. Krudysz, James H. McClellan
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 2 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo