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» Predicting relative performance of classifiers from samples
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SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 10 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 4 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
FUIN
2006
160views more  FUIN 2006»
13 years 9 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
KAIS
2006
111views more  KAIS 2006»
13 years 9 months ago
Real-time classification of variable length multi-attribute motions
Multi-attribute motion data can be generated in many applications/ devices, such as motion capture devices and animations. It can have dozens of attributes, thousands of rows, and ...
Chuanjun Li, Latifur Khan, Balakrishnan Prabhakara...
VIROLOGY
2008
84views more  VIROLOGY 2008»
13 years 8 months ago
Formal affordance-based models of computer virus reproduction
We present a novel classification of computer viruses using a formalised notion of reproductive models based on Gibson's theory of affordances. A computer virus reproduction ...
Matt Webster, Grant Malcolm