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    ML
    2000
    ACM
    154views Machine Learning» more  ML 2000»
    Lazy Learning of Bayesian Rules
    13 years 11 months ago
    Lazy Learning of Bayesian Rules
    Download  www.csse.monash.edu.au
    The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
    Zijian Zheng, Geoffrey I. Webb
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    ML
    2000
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    128views Machine Learning» more  ML 2000»
    Reduction Techniques for Instance-Based Learning Algorithms
    13 years 11 months ago
    Reduction Techniques for Instance-Based Learning Algorithms
    Download  axon.cs.byu.edu
    D. Randall Wilson, Tony R. Martinez
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    ML
    2000
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    144views Machine Learning» more  ML 2000»
    MultiBoosting: A Technique for Combining Boosting and Wagging
    13 years 11 months ago
    MultiBoosting: A Technique for Combining Boosting and Wagging
    Download  www.csse.monash.edu
    MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
    Geoffrey I. Webb
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    ML
    2000
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    133views Machine Learning» more  ML 2000»
    Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
    13 years 11 months ago
    Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
    Download  www.cs.rutgers.edu
    Satinder P. Singh, Tommi Jaakkola, Michael L. Litt...
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    ML
    2000
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    149views Machine Learning» more  ML 2000»
    BoosTexter: A Boosting-based System for Text Categorization
    13 years 11 months ago
    BoosTexter: A Boosting-based System for Text Categorization
    Download  www.cis.upenn.edu
    This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
    Robert E. Schapire, Yoram Singer
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    ML
    2000
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    88views Machine Learning» more  ML 2000»
    Markov Processes on Curves
    13 years 11 months ago
    Markov Processes on Curves
    Download  reference.kfupm.edu.sa
    Lawrence K. Saul, Mazin G. Rahim
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    ML
    2000
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    91views Machine Learning» more  ML 2000»
    Multistrategy Discovery and Detection of Novice Programmer Errors
    13 years 11 months ago
    Multistrategy Discovery and Detection of Novice Programmer Errors
    Download  mysite.dlsu.edu.ph
    Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the ...
    Raymund Sison, Masayuki Numao, Masamichi Shimura
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    ML
    2000
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    244views Machine Learning» more  ML 2000»
    Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
    13 years 11 months ago
    Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
    Download  www.mli.gmu.edu
    A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
    Ryszard S. Michalski
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    ML
    2000
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    150views Machine Learning» more  ML 2000»
    Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
    13 years 11 months ago
    Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
    Download  informatics.indiana.edu
    This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
    Filippo Menczer, Richard K. Belew
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    ML
    2000
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    103views Machine Learning» more  ML 2000»
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    13 years 11 months ago
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    Download  webee.technion.ac.il
    We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
    Ron Meir
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