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» A New Class Based Associative Classification Algorithm
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181
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ECAI
2008
Springer
15 years 4 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
ESANN
2006
15 years 3 months ago
Immune Network based Ensembles
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
Nicolás García-Pedrajas, Colin Fyfe
125
Voted
ICPR
2000
IEEE
15 years 6 months ago
Moving Shadow and Object Detection in Traffic Scenes
We present an algorithm for segmentation of traffic scenes that distinguishes moving objects from cast shadows. Three image features at each pixel site are considered: brightness,...
Ivana Mikic, Pamela C. Cosman, Greg T. Kogut, Moha...
121
Voted
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 2 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
124
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FSKD
2005
Springer
101views Fuzzy Logic» more  FSKD 2005»
15 years 7 months ago
Geometrical Probability Covering Algorithm
Abstract. In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of ...
Junping Zhang, Stan Z. Li, Jue Wang