001463307 000__ 07481cam\a22006737i\4500 001463307 001__ 1463307 001463307 003__ OCoLC 001463307 005__ 20230601003314.0 001463307 006__ m\\\\\o\\d\\\\\\\\ 001463307 007__ cr\cn\nnnunnun 001463307 008__ 230419s2023\\\\sz\\\\\\o\\\\\101\0\eng\d 001463307 020__ $$a9783031301056$$q(electronic bk.) 001463307 020__ $$a3031301056$$q(electronic bk.) 001463307 020__ $$z9783031301049 001463307 020__ $$z3031301048 001463307 0247_ $$a10.1007/978-3-031-30105-6$$2doi 001463307 035__ $$aSP(OCoLC)1376446116 001463307 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dUKAHL$$dN$T 001463307 049__ $$aISEA 001463307 050_4 $$aQA76.87 001463307 08204 $$a006.3/2$$223/eng/20230419 001463307 1112_ $$aICONIP (Conference)$$n(29th :$$d2022 :$$cOnline) 001463307 24510 $$aNeural information processing :$$b29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings.$$nPart I /$$cMohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors. 001463307 2463_ $$aICONIP 2022 001463307 264_1 $$aCham :$$bSpringer,$$c2023. 001463307 300__ $$a1 online resource (622 pages) 001463307 336__ $$atext$$btxt$$2rdacontent 001463307 337__ $$acomputer$$bc$$2rdamedia 001463307 338__ $$aonline resource$$bcr$$2rdacarrier 001463307 4901_ $$aLecture notes in computer science ;$$v13623 001463307 500__ $$aIncludes author index. 001463307 5050_ $$aTheory and Algorithms -- Solving Partial Differential Equations using Point-based Neural Networks -- Patch Mix Augmentation with Dual Encoders for Meta-Learning -- Tacit Commitments Emergence in Multi-agent Reinforcement Learning -- Saccade Direction Information Channel -- Shared-Attribute Multi-Graph Clustering with Global Self-Attention -- Mutual Diverse-Label Adversarial Training -- Multi-Agent Hyper-Attention Policy Optimization -- Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks -- FPD: Feature Pyramid Knowledge Distillation -- An effective ensemble model related to incremental learning in neural machine translation -- Local-Global Semantic Fusion Single-shot Classification Method -- Self-Reinforcing Feedback Domain Adaptation Channel -- General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data -- Additional Learning for Joint Probability Distribution Matching in BiGAN -- Multi-View Self-Attention for Regression Domain Adaptation with Feature Selection -- EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields -- Partial Label learning with Gradually Induced Error-Correction Output Codes -- HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-based optimizer -- Heterogeneous Graph Representation for Knowledge Tracing -- Intuitionistic fuzzy universum support vector machine -- Support vector machine based models with sparse auto-encoder based features for classification problem -- Selectively increasing the diversity of GAN-generated samples -- Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning -- Differentiable Causal Discovery Under Heteroscedastic Noise -- IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels -- Adaptive Scaling for U-Net in Time Series Classification -- Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples -- SSPR: A Skyline-Based Semantic Place Retrieval Method -- Double Regularization-based RVFL and edRVFL Networks for Sparse-Dataset Classification -- Adaptive Tabu Dropout for Regularization of Deep Neural Networks -- Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization -- Nearest Neighbor Classifier with Margin Penalty for Active Learning -- Factual Error Correction in Summarization with Retriever-Reader Pipeline -- Context-adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning -- Self-attention based multi-scale graph convolutional networks -- Synesthesia Transformer with Contrastive Multimodal Learning -- Context-based Point Generation Network for Point Cloud Completion -- Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks -- DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-aware Heterogeneous Graph Transformer -- Sparse Linear Capsules for Matrix Factorization-based Collaborative Filtering -- PromptFusion: a Low-cost Prompt-based Task Composition for Multi-task Learning -- A fast and efficient algorithm for filtering the training dataset -- Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection -- IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem -- Boosting Graph Convolutional Networks With Semi-Supervised Training -- Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs -- VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning -- An Analytical Estimation of Spiking Neural Networks Energy Efficiency -- Correlation Based Semantic Transfer with Application to Domain Adaptation -- Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network -- Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. 001463307 506__ $$aAccess limited to authorized users. 001463307 520__ $$aThe three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 001463307 588__ $$aDescription based on print version record. 001463307 650_0 $$aNeural computers$$vCongresses. 001463307 650_0 $$aNeural networks (Computer science)$$vCongresses. 001463307 655_0 $$aElectronic books. 001463307 7001_ $$aTanveer, Mohammad,$$eeditor. 001463307 7001_ $$aAgarwal, Sonali,$$eeditor. 001463307 7001_ $$aOzawa, Seiichi,$$eeditor. 001463307 7001_ $$aEkbal, Asif,$$d1977-$$eeditor.$$1https://isni.org/isni/0000000375115147 001463307 7001_ $$aJatowt, Adam,$$eeditor. 001463307 77608 $$iPrint version:$$aICONIP (Conference) (29th : 2022 : Online), creator.$$tNeural information processing : Part I.$$dCham : Springer, 2023$$z9783031301049$$w(OCoLC)1374593128 001463307 830_0 $$aLecture notes in computer science ;$$v13623. 001463307 852__ $$bebk 001463307 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30105-6$$zOnline Access$$91397441.1 001463307 909CO $$ooai:library.usi.edu:1463307$$pGLOBAL_SET 001463307 980__ $$aBIB 001463307 980__ $$aEBOOK 001463307 982__ $$aEbook 001463307 983__ $$aOnline 001463307 994__ $$a92$$bISE