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Artificial Neural Networks and Machine Learning - ICANN 2021 (Record no. 89533)

000 -LEADER
fixed length control field 08338nam a22006855i 4500
001 - CONTROL NUMBER
control field 978-3-030-86380-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730174630.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 210910s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030863807
-- 978-3-030-86380-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-86380-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Neural Networks and Machine Learning - ICANN 2021
Medium [electronic resource] :
Remainder of title 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV /
Statement of responsibility, etc. edited by Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
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 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XXIV, 703 p. 242 illus., 210 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 Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12894
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Model compression -- Blending Pruning Criteria for Convolutional Neural Networks -- BFRIFP: Brain Functional Reorganization Inspired Filter Pruning -- CupNet - Pruning a network for geometric data -- Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning -- Gator: Customizable Channel Pruning of Neural Networks with Gating -- Multi-task and multi-label learning -- MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification -- GLUNet: Global-Local Fusion U-Net for 2D Medical Image Segmentation -- Textbook Question Answering with Multi-type Question Learning and Contextualized Diagram Representation -- A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction -- Fairer Machine Learning Through Multi-objective Evolutionary Learning -- Neural network theory -- Single neurons with delay-based learning can generalise between time-warped patterns -- Estimating Expected Calibration Errors -- LipBAB: Computing exact Lipschitz constantof ReLU networks -- Nonlinear Lagrangean Neural Networks -- Normalization and Regularization Methods -- Energy Conservation in Infinitely Wide Neural-Networks -- Class-Similarity Based Label Smoothing for Confidence Calibration -- Jacobian Regularization for Mitigating Universal Adversarial Perturbations -- Layer-wise Activation Cluster Analysis of CNNs to Detect Out-of-Distribution Samples -- Weight and Gradient Centralization in Deep Neural Networks -- LocalNorm: Robust Image Classification through Dynamically Regularized Normalization -- Channel Capacity of Neural Networks -- RIAP: A method for Effective Receptive Field Rectification -- Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking -- Person re-identification -- Interesting Receptive Region and Feature Excitation for Partial Person Re-Identification -- Improved Occluded Person Re-Identification with Multi-feature Fusion -- Joint Weights-averaged and Feature-separated Learning for Person Re-identification -- Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion.-Recurrent neural networks -- Dynamic identification of stop locations from GPS trajectories based on their temporal and spatial characteristics -- Separation of Memory and Processing in Dual Recurrent Neural Networks -- Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data -- Latent State Inference in a Spatiotemporal Generative Model -- Deep learning models and interpretations for multivariate discrete-valued event sequence prediction -- End-to-End On-Line Multi-Object Tracking on Sparse Point Clouds Using Recurrent Convolutional Networks -- M-ary Hopfield Neural Network based Associative Memory Formulation: Limit-cycle based Sequence Storage and Retrieval -- Training Many-to-Many Recurrent Neural Networks with Target Propagation -- Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification -- Precise temporal P300 detection in Brain Computer Interface EEG signals using a Long-Short Term Memory -- Noise Quality and Super-Turing Computation in Recurrent Neural Networks -- Reinforcement learning I -- Learning to Plan via a Multi-Step Policy Regression Method -- Behaviour-conditioned policies for cooperative reinforcement learning tasks -- Integrated Actor-Critic for Deep Reinforcement Learning -- Learning to Assist Agents by Observing Them -- Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction -- Learning distinct strategies for heterogeneous cooperative multi-agent reinforcement learning -- MAT-DQN: Toward Interpretable Multi-Agent Deep Reinforcement Learning for Coordinated Activities -- Selection-Expansion: a unifying framework for motion-planning and diversity search algorithms -- A Hand Gesture Recognition System using EMG and Reinforcement Learning: a Q-Learning Approach -- Reinforcement learning II -- Reinforcement learning for the privacy preservation and manipulation of eye tracking data -- Reinforcement Symbolic Learning -- Deep Reinforcement Learning for Job Scheduling on Cluster -- Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit Games -- Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness through Decentralized Control -- Advances in Adaptive Skill Acquisition -- Aspect-Based Sentiment Classification with Reinforcement Learning and Local Understanding -- Latent dynamics for artefact-free character animation via data-driven reinforcement learning -- Intrinsic Motivation Model Based on Reward Gating.
520 ## - SUMMARY, ETC.
Summary, etc. The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning. *The conference was held online 2021 due to the COVID-19 pandemic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Data processing.
9 (RLIN) 83360
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Data processing.
9 (RLIN) 82607
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 113315
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer engineering.
9 (RLIN) 10164
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
9 (RLIN) 4145
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 113316
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Application in Social and Behavioral Sciences.
9 (RLIN) 31815
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers and Education.
9 (RLIN) 41129
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 113317
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
9 (RLIN) 113318
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
9 (RLIN) 31569
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farkaš, Igor.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Masulli, Paolo.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113320
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Otte, Sebastian.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113321
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wermter, Stefan.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113322
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 113323
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030863791
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030863814
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12894
9 (RLIN) 113324
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-86380-7">https://doi.org/10.1007/978-3-030-86380-7</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.