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    AAAI
    2006
    120views Intelligent Agents» more  AAAI 2006»
    Machine Reading
    13 years 11 months ago
    Machine Reading
    Download  turing.cs.washington.edu
    Oren Etzioni, Michele Banko, Michael J. Cafarella
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    AAAI
    2004
    98views Intelligent Agents» more  AAAI 2004»
    Repeated Observation Models
    13 years 11 months ago
    Repeated Observation Models
    Download  www.eecs.harvard.edu
    Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
    Avi Pfeffer
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    AAAI
    2006
    116views Intelligent Agents» more  AAAI 2006»
    When a Decision Tree Learner Has Plenty of Time
    13 years 11 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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    AAAI
    2004
    206views Intelligent Agents» more  AAAI 2004»
    Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
    13 years 11 months ago
    Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
    Download  www.aaai.org
    The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
    Franz Pernkopf
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    AAAI
    2006
    134views Intelligent Agents» more  AAAI 2006»
    Anytime Induction of Decision Trees: An Iterative Improvement Approach
    13 years 11 months ago
    Anytime Induction of Decision Trees: An Iterative Improvement Approach
    Download  www.aaai.org
    Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are willing to allocate more time to get better decisi...
    Saher Esmeir, Shaul Markovitch
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    AAAI
    2004
    142views Intelligent Agents» more  AAAI 2004»
    Low-cost Addition of Preferences to DTPs and TCSPs
    13 years 11 months ago
    Low-cost Addition of Preferences to DTPs and TCSPs
    Download  www.eecs.umich.edu
    We present an efficient approach to adding soft constraints, in the form of preferences, to Disjunctive Temporal Problems (DTPs) and their subclass Temporal Constraint Satisfactio...
    Bart Peintner, Martha E. Pollack
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    AAAI
    2004
    119views Intelligent Agents» more  AAAI 2004»
    WordNet: : Similarity - Measuring the Relatedness of Concepts
    13 years 11 months ago
    WordNet: : Similarity - Measuring the Relatedness of Concepts
    Download  www.d.umn.edu
    WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity or relatedness between a pair of concepts (or word senses). It...
    Ted Pedersen, Siddharth Patwardhan, Jason Micheliz...
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    AAAI
    2006
    122views Intelligent Agents» more  AAAI 2006»
    CUI Networks: A Graphical Representation for Conditional Utility Independence
    13 years 11 months ago
    CUI Networks: A Graphical Representation for Conditional Utility Independence
    Download  www.aaai.org
    We introduce CUI networks, a compact graphical representation of utility functions over multiple attributes. CUI networks model multiattribute utility functions using the well stu...
    Yagil Engel, Michael P. Wellman
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    AAAI
    2004
    86views Intelligent Agents» more  AAAI 2004»
    Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity
    13 years 11 months ago
    Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity
    Download  www.aaai.org
    ENT ABSTRACTS
    Goutam Paul
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    AAAI
    2004
    79views Intelligent Agents» more  AAAI 2004»
    GROWRANGE: Anytime VCG-Based Mechanisms
    13 years 11 months ago
    GROWRANGE: Anytime VCG-Based Mechanisms
    Download  www.aaai.org
    We introduce anytime mechanisms for distributed optimization with self-interested agents. Anytime mechanisms retain good incentive properties even when interrupted before the opti...
    David C. Parkes, Grant Schoenebeck
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