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» Classification with Belief Decision Trees
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ECAI
2008
Springer
13 years 9 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
ICIP
2003
IEEE
14 years 9 months ago
Morphological hat-transform scale spaces and their use in texture classification
In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two ...
Andrei Jalba, Jos B. T. M. Roerdink, Michael H. F....
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Softening Splits in Decision Trees Using Simulated Annealing
Predictions computed by a classification tree are usually constant on axis-parallel hyperrectangles corresponding to the leaves and have strict jumps on their boundaries. The densi...
Jakub Dvorák, Petr Savický
AAAI
2006
13 years 9 months ago
Classification Spanning Private Databases
In this paper, we study the classification problem involving information spanning multiple private databases. The privacy challenges lie in the facts that data cannot be collected...
Ke Wang, Yabo Xu, Rong She, Philip S. Yu
MICCAI
2004
Springer
14 years 8 months ago
Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT
A new approach to the hepatic primary tumor recognition from dynamic CT images is proposed. In the first step of the proposed method, texture features are extracted from manually t...
Dorota Duda, Marek Kretowski, Johanne Bézy-...