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    FLAIRS
    2001
    88views Artificial Intelligence» more  FLAIRS 2001»
    An Eager Regression Method Based on Selecting Appropriate Features
    13 years 9 months ago
    An Eager Regression Method Based on Selecting Appropriate Features
    Download  www.aaai.org
    Tolga Aydin, H. Altay Güvenir
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    IJCAI
    2007
    209views Artificial Intelligence» more  IJCAI 2007»
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    13 years 9 months ago
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    Download  www.ijcai.org
    Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
    Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
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    AUSAI
    2007
    Springer
    176views Artificial Intelligence» more  AUSAI 2007»
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    13 years 11 months ago
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    Download  www.csse.monash.edu.au
    Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
    Peter J. Tan, David L. Dowe, Trevor I. Dix
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    PREMI
    2011
    Springer
    210views Pattern Recognition» more  PREMI 2011»
    Feature Set Selection for On-Line Signatures Using Selection of Regression Variables
    12 years 10 months ago
    Feature Set Selection for On-Line Signatures Using Selection of Regression Variables
    Download  www.iit.bas.bg
    Abstract. In this paper we approach feature set selection phase in signature verification by applying the method for selection of regression variables based on Mallows Cp criterio...
    Desislava Boyadzieva, Georgi Gluhchev
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    IPMU
    2010
    Springer
    150views Information Technology» more  IPMU 2010»
    Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
    13 years 6 months ago
    Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
    Download  public.rz.fh-wolfenbuettel.de
    Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
    Kemal Ince, Frank Klawonn
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