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Machine Learning, Optimization, and Data Science (Record no. 57648)

MARC details
000 -LEADER
fixed length control field 07106nam a22006735i 4500
001 - CONTROL NUMBER
control field 978-3-031-53969-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030111428.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031539695
-- 978-3-031-53969-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-53969-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.19-.29
072 #7 - SUBJECT CATEGORY CODE
Subject category code UF
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM005000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UXJ
Source thema
245 10 - TITLE STATEMENT
Title Machine Learning, Optimization, and Data Science
Medium [electronic resource] :
Remainder of title 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I /
Statement of responsibility, etc. edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 515 p. 193 illus., 152 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 14505
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning -- Leverage Mathematics? capability to compress and generalize as application of ML Embedding extraction from LLMs and its adaptation in the Automotive Space -- Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks -- 38 Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets -- A Machine Learning Approach for Source Code Similarity via Graph-focused Features -- Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping -- ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation -- Perceptrons Under Veri able Random Data Corruption -- 104 Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach -- Solving Continuous Optimization Problems with a new Hyperheuristic Framework.-Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text -- Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data -- A FastMap-Based Framework for E ciently Computing Top-K Projected Centrality -- Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shell sh production areas -- The Price of Data Processing Gail Gilboa Freedman -- Reward Shaping for Job Shop Scheduling -- A 3D Terrain Generator: Enhancing Robotics Simulations with GANs -- Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region -- Bilevel Optimization by Conditional Bayesian Optimization -- Few-Shot Learning for Character Recognition in Persian Historical Documents -- ProVolOne ? Protein Volume Prediction Using a Multi-Attention, Multi-Resolution Deep Neural Network andFinite Element Analysis -- A data-driven monitoring approach for diagnosing quality degradation in a glass containerprocess -- Exploring emergent properties of recurrent neural networks using novel energy function formalism -- Co-Imagination of Behaviour & Morphology of Agents -- An Evolutionary Approach to Feature Selection and Classification -- "It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction -- U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration -- Improved Filter-Based Feature Selection Techniques Based on Correlation and Clustering Techniques -- Deep Active Learning with Concept Drifts for detection of Mercury's Bow Shock and Magnetopause Crossings -- Modeling Primacy, Recency, and Cued recall in serial memory task using on-center o -surround recurrent neural network -- Joining Emission Data from Diverse Economical Activity Taxonomies with Evolution Strategies -- GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators -- Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data -- Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning -- Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations -- Attentive perturbation: extending pre x tuning to large language models inner representations -- SoftCut: a fully di erentiable relaxed graph cut approach for deep learning image segmentation.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023. The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state of the art and the latest advances in the integration of machine learning, deep learning, nonlinear optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Management.
9 (RLIN) 57223
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Topical term or geographic name as entry element
9 (RLIN) 60157
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Evaluation.
9 (RLIN) 67895
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66531
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65689
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 67896
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nicosia, Giuseppe.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 71012
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ojha, Varun.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 71013
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name La Malfa, Emanuele.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 71014
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name La Malfa, Gabriele.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 71015
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pardalos, Panos M.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 68568
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Umeton, Renato.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 71016
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031539688
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031539701
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 14505
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-53969-5">https://doi.org/10.1007/978-3-031-53969-5</a>
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