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    ACL
    1998
    118views Computational Linguistics» more  ACL 1998»
    Using Decision Trees to Construct a Practical Parser
    13 years 5 months ago
    Using Decision Trees to Construct a Practical Parser
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    This paper describes novel and practical Japanese parsers that uses decision trees. First, we construct a single decision tree to estimate modification probabilities; how one phra...
    Masahiko Haruno, Satoshi Shirai, Yoshifumi Ooyama
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    WSC
    2004
    153views Modeling And Simulation» more  WSC 2004»
    Decision Tree Module Within Decision Support Simulation System
    13 years 5 months ago
    Decision Tree Module Within Decision Support Simulation System
    Download  www.informs-sim.org
    Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
    Mohamed Moussa, Janaka Y. Ruwanpura, George Jergea...
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    FLAIRS
    2001
    114views Artificial Intelligence» more  FLAIRS 2001»
    Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
    13 years 5 months ago
    Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
    Download  www.aaai.org
    We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...
    Arindam Basak, Sudeshna Sarkar
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    FLAIRS
    2004
    165views Artificial Intelligence» more  FLAIRS 2004»
    Decision Tree Extraction from Trained Neural Networks
    13 years 5 months ago
    Decision Tree Extraction from Trained Neural Networks
    Download  www.aaai.org
    Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
    Darren Dancey, David McLean, Zuhair Bandar
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    FLAIRS
    2004
    160views Artificial Intelligence» more  FLAIRS 2004»
    Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
    13 years 5 months ago
    Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
    Download  www.aaai.org
    Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
    Jay Fowdar, Zuhair Bandar, Keeley A. Crockett
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    ACL
    2006
    182views Computational Linguistics» more  ACL 2006»
    Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
    13 years 5 months ago
    Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
    Download  www.cse.iitb.ac.in
    In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
    Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
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    AAAI
    2006
    116views Intelligent Agents» more  AAAI 2006»
    When a Decision Tree Learner Has Plenty of Time
    13 years 5 months ago
    When a Decision Tree Learner Has Plenty of Time
    Download  www.cs.technion.ac.il
    The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
    Saher Esmeir, Shaul Markovitch
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    SDM
    2008
    SIAM
    197views Data Mining» more  SDM 2008»
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    13 years 5 months ago
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    Download  cui.unige.ch
    Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
    Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
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    ICMLA
    2008
    130views Machine Learning» more  ICMLA 2008»
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
    13 years 5 months ago
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
    Download  axon.cs.byu.edu
    Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
    Michael Gashler, Christophe G. Giraud-Carrier, Ton...
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    SDM
    2010
    SIAM
    184views Data Mining» more  SDM 2010»
    A Robust Decision Tree Algorithm for Imbalanced Data Sets
    13 years 5 months ago
    A Robust Decision Tree Algorithm for Imbalanced Data Sets
    Download  www.nd.edu
    We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
    Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
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