Combinatorial optimization through statistical instance-based learning

Proceedings of the International Conference on Tools with Artificial Intelligence

Volumn , Issue , 2001, Pages 203-209

  Telelis, Orestis ^a   Stamatopoulos, Panagiotis ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDED SYSTEMS; GLOBAL OPTIMIZATION; HEURISTIC METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBLEM SOLVING; REGRESSION ANALYSIS;

COMBINATORIAL OPTIMIZATION; CONSTRUCTIVE SEARCH; DEPTH FIRST SEARCH; KERNEL REGRESSION; KNAPSACK PROBLEM; LEAVE ONE OUT CROSS VALIDATION; LOCALLY WEIGHTED AVERAGING; SET PARTITIONING PROBLEM;

LEARNING SYSTEMS;

EID: 0035557319     PISSN: 10636730     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Locally weighted learning
2. Statistical machine learning for large-scale optimization
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4. Maximizing the benefits of parallel search using machine learning
5. Limited discrepancy search
6. Reinforcement learning: A survey
7. A study of cross-validation and bootstrap for accuracy estimation and model selection
8. An analytic learning system for specializing heuristics
9. Learning scheduling control knowledge through reinforcements
10. Combined analytical and empirical learning framework for branch and bound algorithms: The knapsack problem
11. A reinforcement learning approach to job-shop scheduling