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» A novel feature selection algorithm for text categorization
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RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
14 years 9 days ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
COGSCI
2010
107views more  COGSCI 2010»
13 years 8 months ago
Feature Selection for Inductive Generalization
Judging similarities among objects, events, and experiences is one of the most basic cognitive abilities, allowing us to make predictions and generalizations. The main assumption ...
Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-...
NIPS
2000
13 years 10 months ago
Text Classification using String Kernels
We propose a novel approach for categorizing text documents based on the use of a special kernel. The kernel is an inner product in the feature space generated by all subsequences...
Huma Lodhi, John Shawe-Taylor, Nello Cristianini, ...
PCM
2004
Springer
224views Multimedia» more  PCM 2004»
14 years 2 months ago
Fast and Robust Short Video Clip Search for Copy Detection
Query by video clip (QVC) has attracted wide research interests in multimedia information retrieval. In general, QVC may include feature extraction, similaritymeasure,databaseorgan...
Junsong Yuan, Ling-Yu Duan, Qi Tian, Surendra Rang...
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters