Showing 1 - 20 results of 20 for search 'PROBLEM BASED LEARNING', query time: 1.41s Refine Results
  1. 1
    PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES
    by ADRIANO BRITO PEREIRA
    Published 2012
    “... is to resolve the problem of generating bots able to play turn-based games and contribute to achieving better...”
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  2. 2
    [en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES
    by ADRIANO BRITO PEREIRA
    Published 2017
    Subjects: “...[en] REINFORCEMENT LEARNING...”
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  3. 3
    ENTROPY GUIDED FEATURE GENERATION FOR STRUCTURE LEARNING
    by ERALDO LUIS REZENDE FERNANDES
    Published 2012
    “... learning problems. Dependency parsing, for instance, involves the prediction of a tree underlying a...”
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  4. 4
    SUPERVISED LEARNING INCREMENTAL FEATURE INDUCTION AND SELECTION
    by EDUARDO NEVES MOTTA
    Published 2014
    “... predictive models with higher precision for classification problems. However, feature induction may rapidly...”
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  5. 5
    [en] ENTROPY GUIDED FEATURE GENERATION FOR STRUCTURE LEARNING
    Published 2014
    “... be formulated and solved as structure learning problems. Dependency parsing, for instance, involves...”
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  6. 6
    A MACHINE LEARNING APPROACH FOR PORTUGUESE TEXT CHUNKING
    “... propose Machine Learning models for chunk extraction based on the Entropy Guided Transformation Learning...”
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  7. 7
    [en] SUPERVISED LEARNING INCREMENTAL FEATURE INDUCTION AND SELECTION
    by EDUARDO NEVES MOTTA
    Published 2017
    “... predictive models with higher precision for classification problems. However, feature induction may rapidly...”
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  8. 8
    [en] A MACHINE LEARNING APPROACH FOR PORTUGUESE TEXT CHUNKING
    Subjects: “...[en] MACHINE LEARNING...”
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  9. 9
    STRUCTURED LEARNING WITH INCREMENTAL FEATURE INDUCTION AND SELECTION FOR PORTUGUESE DEPENDENCY PARSING
    by YANELY MILANES BARROSO
    Published 2016
    “... several tasks of increasing complexity, which involve learning to associate structures like graphs...”
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  10. 10
    [en] STRUCTURED LEARNING WITH INCREMENTAL FEATURE INDUCTION AND SELECTION FOR PORTUGUESE DEPENDENCY PARSING
    by YANELY MILANES BARROSO
    Published 2016
    Subjects: “...[en] SUPERVISED MACHINE LEARNING...”
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  11. 11
    [en] A NEURAL NETWORK FOR ONLINE PORTFOLIO SELECTION WITH SIDE INFORMATION
    by GUILHERME AUGUSTO SCHUTZ
    Published 2019
    Subjects: “...[en] MACHINE LEARNING...”
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  12. 12
    [en] COLLABORATIVE FILTERING APPLIED TO TARGETED ADVERTISING
    by ROBERTO PEREIRA CAVALCANTE
    Published 2008
    Subjects: “...[en] MACHINE LEARNING...”
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  13. 13
    [en] RECOMMENDER SYSTEMS USING RESTRICTED BOLTZMANN MACHINES
    by FELIPE JOAO PONTES DA CRUZ
    Published 2017
    Subjects: “...[en] MACHINE LEARNING...”
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  14. 14
    [en] THE BOOSTING AT START ALGORITHM AND ITS APPLICATIONS
    by JULIO CESAR DUARTE
    Published 2017
    Subjects: “...[en] MACHINE LEARNING...”
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  15. 15
    [en] DIRECT AND INDIRECT QUOTATION EXTRACTION FOR PORTUGUESE
    by RAFAEL DOS REIS SILVA
    Published 2017
    “... that we use a Machine Learning model based, we can easily adapt it to other languages, needing only a list...”
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  16. 16
    DIRECT AND INDIRECT QUOTATION EXTRACTION FOR PORTUGUESE
    by RAFAEL DOS REIS SILVA
    Published 2017
    “... that we use a Machine Learning model based, we can easily adapt it to other languages, needing only a list...”
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  17. 17
    COLLABORATIVE FILTERING APPLIED TO TARGETED ADVERTISING
    by ROBERTO PEREIRA CAVALCANTE
    Published 2008
    “... systems based on collaborative filtering use the preferences of other users as features to a learning...”
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  18. 18
    [en] ALGORITHMS FOR PARTIAL LEAST SQUARES REGRESSION
    by RAUL PIERRE RENTERIA
    Published 2004
    “...] The purpose of many problems in the machine learning field isto model the complex relationship in a...”
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  19. 19
    ALGORITHMS FOR PARTIAL LEAST SQUARES REGRESSION
    by RAUL PIERRE RENTERIA
    Published 2003
    “... preditivo, graças ao uso de vários núcleos na geração do modelo. === The purpose of many problems...”
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  20. 20
    THE BOOSTING AT START ALGORITHM AND ITS APPLICATIONS
    by JULIO CESAR DUARTE
    Published 2009
    “... Machine Learning approach based on Boosting. BAS generalizes AdaBoost by allowing the use of an arbitrary...”
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