Central Library

Learning and Intelligent Optimization (Record no. 96636)

000 -LEADER
fixed length control field 05608nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-44505-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730201632.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231024s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031445057
-- 978-3-031-44505-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-44505-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA71-90
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBKS
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT041000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBKS
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 518
Edition number 23
245 10 - TITLE STATEMENT
Title Learning and Intelligent Optimization
Medium [electronic resource] :
Remainder of title 17th International Conference, LION 17, Nice, France, June 4-8, 2023, Revised Selected Papers /
Statement of responsibility, etc. edited by Meinolf Sellmann, Kevin Tierney.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 616 p. 172 illus., 142 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 14286
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Anomaly Classification to Enable Self-Healing in Cyber Physical Systems using Process Mining -- Hyper-box Classification Model using Mathematical Programming -- A leak localization algorithm in water distribution networks using probabilistic leak representation and optimal transport distance -- Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming -- Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing -- A Bayesian optimization algorithm for constrained simulation optimization problems with heteroscedastic noise -- Hierarchical Machine Unlearning -- Explaining the Behavior of Reinforcement Learning Agents using Explaining the Behavior of Reinforcement Learning Agents using -- Deep Randomized Networks for Fast Learning -- Generative models via Optimal Transport and Gaussian Processes -- Real-world streaming process discovery from low-level event data -- Robust Neural Network Approach to System Identification in the High-Noise Regime.-GPU for Monte Carlo Search -- Learning the Bias Weights for Generalized Nested Rollout Policy Adaptation -- Heuristics selection with ML in CP Optimizer -- Model-based feature selection for neural networks: A mixed-integer programming approach -- An Error-Based Measure for Concept Drift Detection and Characterization -- Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands -- On Learning When to Decompose Graphical Models -- Inverse Lighting with Differentiable Physically-Based Model -- Repositioning Fleet Vehicles: a Learning Pipeline -- Bayesian Decision Trees Inspired from Evolutionary Algorithms -- Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search -- Relational Graph Attention-based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-dependent Setup Times -- Experimental Digital Twin for Job Shops with Transportation Agents -- Learning to Prune Electric Vehicle Routing Problems -- A matheuristic approach for electric bus fleet scheduling -- Class GP: Gaussian Process Modeling for Heterogeneous Functions -- Surrogate Membership for Inferred Metrics in Fairness Evaluation -- The BeMi Stardust: a Structured Ensemble of Binarized Neural Network -- Discovering explicit scale-up criteria in crisis response with decision mining -- Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach -- Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks -- Multi-Task Predict-then-Optimize -- Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars -- Improving subtour elimination constraint generation in Branch-and-Cut algorithms for the TSP with Machine Learning -- Learn, Compare, Search: One Sawmill's Search for the Best Cutting Patterns Across And/or Trees -- Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement Learning -- Analysis of Heuristics for Vector Scheduling and Vector Bin Packing -- Unleashing the potentialof restart by detecting the search stagnation.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4-8, 2023. The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
General subdivision Data processing.
9 (RLIN) 19904
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational Mathematics and Numerical Analysis.
9 (RLIN) 31598
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sellmann, Meinolf.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 168092
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tierney, Kevin.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 168093
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 168094
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031445040
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031445064
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 14286
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-44505-7">https://doi.org/10.1007/978-3-031-44505-7</a>
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-- ZDB-2-SCS
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-- ZDB-2-SXCS
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-- ZDB-2-LNC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.