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» Support Vector classifiers for Land Cover Classification
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127
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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 4 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
101
Voted
BIBE
2007
IEEE
126views Bioinformatics» more  BIBE 2007»
15 years 2 months ago
An End-to-End Process for Cancer Identification from Images of Lung Tissue
— This research describes a non-interactive process that applies several forms of computational intelligence to the task of classifying biopsy lung tissue samples based on visual...
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhuko...
ICML
2004
IEEE
16 years 1 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
JMLR
2006
124views more  JMLR 2006»
15 years 12 days ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
CICLING
2010
Springer
14 years 7 months ago
An Empirical Study on the Feature's Type Effect on the Automatic Classification of Arabic Documents
The Arabic language is a highly flexional and morphologically very rich language. It presents serious challenges to the automatic classification of documents, one of which is deter...
Saeed Raheel, Joseph Dichy