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    ICANNGA
    2007
    Springer
    153views Algorithms» more  ICANNGA 2007»
    Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
    14 years 1 months ago
    Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
    Download  sabia.tic.udc.es
    This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
    Daniel Rivero, Juan R. Rabuñal, Julian Dora...
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    IAT
    2003
    IEEE
    166views Intelligent Agents» more  IAT 2003»
    Classification Rule Discovery with Ant Colony Optimization
    14 years 24 days ago
    Classification Rule Discovery with Ant Colony Optimization
    Download  www.comp.hkbu.edu.hk
    —Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues ...
    Bo Liu, Hussein A. Abbass, Bob McKay
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    IBPRIA
    2007
    Springer
    161views Pattern Recognition» more  IBPRIA 2007»
    Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
    13 years 11 months ago
    Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
    Download  www.ee.oulu.fi
    Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
    Oleg Okun, Helen Priisalu
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 5 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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    CVPR
    2009
    IEEE
    460views Computer Vision» more  CVPR 2009»
    Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
    15 years 2 months ago
    Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
    Download  vision.cs.princeton.edu
    Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
    Fei-Fei Li 0002, Li-Jia Li, Richard Socher
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