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Band 12096

Learning and Intelligent Optimization 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers

Aus der Reihe Theoretical Computer Science and General Issues

52,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.07.2020

Abbildungen

XIV, 430 p. 91 illus., 62 illus. in color.

Herausgeber

Ilias S. Kotsireas + weitere

Verlag

Springer

Seitenzahl

430

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-53551-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.07.2020

Abbildungen

XIV, 430 p. 91 illus., 62 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

430

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-53551-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Learning and Intelligent Optimization
  • Produktbild: Learning and Intelligent Optimization
  • Optimization for Urban Air Mobility.- A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking.- Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective.- QPTAS for the CVRP with a moderate number of routes in a metric space of any xed doubling dimension.- Early detection of eating disorders through machine learning techniques.- On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances.- Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks.- A Class of Linear Programs Solvable by Coordinate-wise Minimization.- Travel times equilibration procedure for route- flow traffic assignment problem.- confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.- Randomized Algorithms for Some Sequence Clustering Problems.- Hyper-parameterized Dialectic Search for Non-Linear Box-constrained Optimization with Heterogenous Variable Types.- Least Squares K-SVCR Multi-class Classification.- Active learning based framework for image captioning corpus creation.- Reducing space search in combinatorial optimization using machine learning tools.- Impact of the Discretization of VOCs for Cancer Prediction using a Multi-Objective Algorithm.- AUGMECON2 method for a bi-objective U-shaped assembly line balancing problem.- Two-Channel Conflict-Free Square Grid Aggregation.- Online Stacking using RL with Positional and Tactical Features.- Power consumption estimation in data centers using machine learning techniques.- Automated tuning of a column generation algorithm.- Pool-based Realtime Algorithm Configuration: A Preselection Bandit Approach.- A Memetic Approach for the Unicost Set Covering Problem.- Dynamic Visual Few-Shot Learning through Parameter Prediction Network.- An Alternating DCA-based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation.- PSO-based cooperative learning using chunking.- The problem of the hospital surgery department debottlenecking.- Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization.- Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization.- A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels.- HotelSimu: Simulation-based Optimization for Hotel Dynamic Pricing.- Heuristic Search Strategies for Noisy Optimization.- Uncertainty of efficient frontier in portfolio optimization.- Learning to configure mathematical programming solvers by mathematical programming.- Convex Hulls in Solving Multiclass Pattern Recognition Problem.- Least Correntropic Loss Regression.- Novelty Discovery with Kernel Minimum Enclosing Balls.- DESICOM as Metaheuristic Search.