Knowledge Discovery Process and Methods to Enhance Organizational Performance
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portes grátis
Knowledge Discovery Process and Methods to Enhance Organizational Performance
Osei-Bryson, Kweku-Muata; Barclay, Corlane
Taylor & Francis Ltd
01/2024
404
Mole
Inglês
9781138894259
15 a 20 dias
Descrição não disponível.
Introduction to Reinforcement Learning. Model-Free Policy Iteration. Policy Iteration with Value Function Approximation. Basis Design for Value Function Approximation. Sample Reuse in Policy Iteration. Active Learning in Policy Iteration. Robust Policy Iteration. Model-Free Policy Search. Direct Policy Search by Gradient Ascent. Direct Policy Search by Expectation-Maximization. Policy-Prior Search. Model-Based Reinforcement Learning. Transition Model Estimation. Dimensionality Reduction for Transition Model Estimation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Mining Project;Business Understanding Phase;Business analytics;Data Mining Objectives;Business intelligence;Dm;Data for development;Te Ch;KDDM;Business Success Criteria;Knowledge discovery and data mining;Dm Goal;Organizational performance;Da Ta;Data;SAS Enterprise Miner;GQM;Validation Datasets;Data Preparation Phase;Multiple Criteria Decision Aid;Dt Induction;Average Relative Efficiency;Rank Aggregation;Data Quality Assurance;Assessment Dataset;KDD Process;Data Quality Dimensions;Optimal Sub-tree;Natural Reward Strategies;Data Quality Assessment;Data Quality Problems
Introduction to Reinforcement Learning. Model-Free Policy Iteration. Policy Iteration with Value Function Approximation. Basis Design for Value Function Approximation. Sample Reuse in Policy Iteration. Active Learning in Policy Iteration. Robust Policy Iteration. Model-Free Policy Search. Direct Policy Search by Gradient Ascent. Direct Policy Search by Expectation-Maximization. Policy-Prior Search. Model-Based Reinforcement Learning. Transition Model Estimation. Dimensionality Reduction for Transition Model Estimation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Mining Project;Business Understanding Phase;Business analytics;Data Mining Objectives;Business intelligence;Dm;Data for development;Te Ch;KDDM;Business Success Criteria;Knowledge discovery and data mining;Dm Goal;Organizational performance;Da Ta;Data;SAS Enterprise Miner;GQM;Validation Datasets;Data Preparation Phase;Multiple Criteria Decision Aid;Dt Induction;Average Relative Efficiency;Rank Aggregation;Data Quality Assurance;Assessment Dataset;KDD Process;Data Quality Dimensions;Optimal Sub-tree;Natural Reward Strategies;Data Quality Assessment;Data Quality Problems
