Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning (Record no. 204372)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 08082nam a22006015i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030304843 |
| -- | 978-3-030-30484-3 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning |
| Sub title | 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II / |
| Statement of responsibility, etc. | edited by Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2019. |
| 300 ## - DESCRIPTION | |
| Extent | XXX, 807 p. 294 illus., 193 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Adaptive Graph Fusion for Unsupervised Feature Selection -- Unsupervised Feature Selection via Local Total-order Preservation -- Discrete Stochastic Search and its Application to Feature-Selection for Deep Relational Machines -- Joint Dictionary Learning for Unsupervised Feature Selection -- Comparison between Filter Criteria for Feature Selection in Regression -- CancelOut: A layer for feature selection in deep neural networks -- Adaptive-L2 Batch Neural Gas -- Application of Self Organizing Map to Preprocessing Input Vectors for Convolutional Neural Network -- Hierarchical Reinforcement Learning with Unlimited Recursive Subroutine Calls -- Automatic Augmentation by Hill Climbing -- Learning Camera-invariant Representation for Person Re-identification -- PA-RetinaNet: Path Augmented RetinaNet for Dense Object Detection -- Singular Value Decomposition and Neural Networks -- PCI: Principal Component Initialization for Deep Autoencoders -- Improving Weight Initialization of ReLU and Output Layers -- Post-synaptic potential regularization has potential -- A Novel Modification on the Levenberg-Marquardt Algorithm for Avoiding Overfitting in Neural Network Training -- Sign Based Derivative Filtering for Stochastic Gradient Descent -- Architecture-aware Bayesian Optimization for Neural Network Tuning -- Non-Convergence and Limit Cycles in the Adam Optimizer -- Learning Internal Dense But External Sparse Structures of Deep Convolutional Neural Network -- Using feature entropy to guide filter pruning for efficient convolutional networks -- Simultaneously Learning Architectures and Features of Deep Neural Networks -- Learning Sparse Hidden States in Long Short-Term Memory -- Multi-objective Pruning for CNNs using Genetic Algorithm -- Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence -- Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation -- Local Normalization Based BN Layer Pruning -- On Practical Approach to Uniform Quantization of Non-redundant Neural Networks -- Residual learning for FC kernels of convolutional network -- A Novel Neural Network-based Symbolic Regression Method: Neuro-Encoded Expression Programming -- Compute-efficient neural network architecture optimization by a genetic algorithm -- Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures -- Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization -- Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates -- A multitask learning neural network for short-term traffic speed prediction and confidence estimation -- Central-diffused Instance Generation Method in Class Incremental Learning -- Marginal Replay vs Conditional Replay for Continual Learning -- Simplified computation and interpretation of Fisher matrices in incremental learning with deep neural networks -- Active Learning for Image Recognition using a Visualization-Based User Interface -- Basic Evaluation Scenarios for Incrementally Trained Classifiers -- Embedding Complexity of Learned Representations in Neural Networks -- Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions -- Multi-Task Sparse Regression Metric Learning for Heterogeneous Classification -- Fast Approximate Geodesics for Deep Generative Models -- Spatial Attention Network for Few-Shot Learning -- Routine Modeling with Time Series Metric Learning -- Leveraging Domain Knowledge for Reinforcement Learning using MMC Architectures -- Conditions for Unnecessary Logical Constraints in Kernel Machines -- HiSeqGAN: Hierarchical Sequence Synthesis and Prediction -- DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting -- Transferable Adversarial Cycle Alignment for Domain Adaption -- Evaluation of domain adaptation approaches for robust classification of heterogeneous biological data sets -- Named Entity Recognition for Chinese Social Media with Domain Adversarial Training and Language Modeling -- Deep Domain Knowledge Distillation for Person Re-identification -- A study on catastrophic forgetting in deep LSTM networks -- A Label-specific Attention-based Network with Regularized Loss for Multi-label Classification -- An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition -- Filter Method Ensemble with Neural Networks -- Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes -- Increasing the Generalisaton Capacity of Conditional VAEs -- Playing the Large Margin Preference Game. |
| 650 #0 - SUBJECT | |
| Keyword | Artificial intelligence. |
| 650 #0 - SUBJECT | |
| Keyword | Optical data processing. |
| 650 #0 - SUBJECT | |
| Keyword | Computer organization. |
| 650 #0 - SUBJECT | |
| Keyword | Computers. |
| 650 #0 - SUBJECT | |
| Keyword | Algorithms. |
| 650 #0 - SUBJECT | |
| Keyword | Computer security. |
| 650 14 - SUBJECT | |
| Keyword | Artificial Intelligence. |
| 650 24 - SUBJECT | |
| Keyword | Image Processing and Computer Vision. |
| 650 24 - SUBJECT | |
| Keyword | Computer Systems Organization and Communication Networks. |
| 650 24 - SUBJECT | |
| Keyword | Information Systems and Communication Service. |
| 650 24 - SUBJECT | |
| Keyword | Algorithm Analysis and Problem Complexity. |
| 650 24 - SUBJECT | |
| Keyword | Systems and Data Security. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tetko, Igor V. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kůrková, Věra. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Karpov, Pavel. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Theis, Fabian. |
| 856 40 - ONLINE RESOURCES | |
| url | https://doi.org/10.1007/978-3-030-30484-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | e-Books |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| -- | https://orcid.org/0000-0002-6855-0012 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| -- | https://orcid.org/0000-0002-8181-2128 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| -- | https://orcid.org/0000-0003-4786-9806 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| -- | https://orcid.org/0000-0002-2419-1943 |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| Home library | Current library | Full call number | Accession number | Koha item type |
|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | 006.3 | E-3093 | e-Books |