دانلود کتاب Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part III

فهرست مطالب :

Front Matter ....Pages I-XXI
Front Matter ....Pages 1-1
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings (Subba Reddy Oota, Naresh Manwani, Raju S. Bapi)....Pages 3-15
Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features (Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao)....Pages 16-27
Category-Embodied Knowledge Embedding (Maoyuan Zhang, Qi Wang, Zhou Xu, Jianping Zhu, Shuyuan Sun, Yang Wen)....Pages 28-37
Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering (Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu)....Pages 38-47
Potential Probability of Negative Triples in Knowledge Graph Embedding (Shengyue Luo, Wei Fang)....Pages 48-58
Event Causality Identification by Modeling Events and Relation Embedding (Zhenyu Yang, Wei Liu, Zongtian Liu)....Pages 59-68
Topic-Bigram Enhanced Word Embedding Model (Qi Yang, Ruixuan Li, Yuhua Li, Qilei Liu)....Pages 69-81
Hybridized Character-Word Embedding for Korean Traditional Document Translation (Hosang Yu, Gil-Jin Jang, Minho Lee)....Pages 82-89
Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition (Denis Sedov, Zhirong Yang)....Pages 90-100
Meta-path Based Heterogeneous Graph Embedding for Music Recommendation (Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen)....Pages 101-113
Knowledge Graph Embedding via Entities’ Type Mapping Matrix (Md Mostafizur Rahman, Atsuhiro Takasu)....Pages 114-125
A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-Tree (Wenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu, Nana Li)....Pages 126-137
Front Matter ....Pages 139-139
Semi-coupled Transform Learning (Jyoti Maggu, Angshul Majumdar)....Pages 141-150
A Refined Spatial Transformer Network (Chang Shu, Xi Chen, Chong Yu, Hua Han)....Pages 151-161
Convolutional Transform Learning (Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar)....Pages 162-174
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples (Jie Hang, KeJi Han, Yun Li)....Pages 175-187
Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP (Ravi Shankar Devanapalli, V. Susheela Devi)....Pages 188-197
Deep Transfer Learning via Minimum Enclosing Balls (Zhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei, Shaoning Pang, Yue Leng)....Pages 198-207
Cross-domain Recommendation with Probabilistic Knowledge Transfer (Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang)....Pages 208-219
Transfer Learning with Active Queries for Relational Data Modeling Across Multiple Information Networks (Ke-Jia Chen, Kai Zhang, Xi-Lin Jiang, Yunyun Wang)....Pages 220-229
Semi-supervised Transfer Metric Learning with Relative Constraints (Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Prateek Bangwal)....Pages 230-241
Fuzzy Domain Adaptation Using Unlabeled Target Data (Hua Zuo, Guangquan Zhang, Jie Lu)....Pages 242-250
Front Matter ....Pages 251-251
Reinforcement Learning Policy with Proportional-Integral Control (Ye Huang, Chaochen Gu, Kaijie Wu, Xinping Guan)....Pages 253-264
Data-Efficient Reinforcement Learning Using Active Exploration Method (Dongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang)....Pages 265-276
Averaged-A3C for Asynchronous Deep Reinforcement Learning (Song Chen, Xiao-Fang Zhang, Jin-Jin Wu, Di Liu)....Pages 277-288
Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling (Jianpeng Lin, Zhiping Peng, Delong Cui)....Pages 289-302
Accelerating Spatio-Temporal Deep Reinforcement Learning Model for Game Strategy (Yifan Li, Yuchun Fang)....Pages 303-312
ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement Learning (Jatin Goyal, Abhijith Madan, Akshay Narayan, Shrisha Rao)....Pages 313-325
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator (Yuanheng Zhu, Dongbin Zhao)....Pages 326-334
An Adaptive Box-Normalization Stock Index Trading Strategy Based on Reinforcement Learning (Yingying Zhu, Hui Yang, Jianmin Jiang, Qiang Huang)....Pages 335-346
Heterogeneous Multi-task Learning of Evaluation Functions for Chess and Shogi (Shanchuan Wan, Tomoyuki Kaneko)....Pages 347-358
Reinforcement Learning Based Dialogue Management Strategy (Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya)....Pages 359-372
Front Matter ....Pages 373-373
A Family of Maximum Margin Criterion for Adaptive Learning (Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi)....Pages 375-387
Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples (Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa)....Pages 388-398
Enhanced Metric Learning via Dempster-Shafer Evidence Theory (Ying Li, Yabo Zhang, Yaxin Peng)....Pages 399-410
InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection (Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu)....Pages 411-422
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data (Ali Braytee, Ali Anaissi, Paul J. Kennedy)....Pages 423-434
Task and Instance Quadratic Ordering for Active Online Multitask Learning (Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya, Daisuke Miyamoto)....Pages 435-447
Learning from Titles to Recommend Keywords for Academic Papers (Huifang Ma, Fang Liu, Qin Xia, Li Yu)....Pages 448-459
Zero-Shot Learning with Superclasses (Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu)....Pages 460-472
Active Learning Methods with Deep Gaussian Processes (Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu)....Pages 473-483
Transductive Learning with String Kernels for Cross-Domain Text Classification (Radu Tudor Ionescu, Andrei Madalin Butnaru)....Pages 484-496
Overcoming Catastrophic Forgetting with Self-adaptive Identifiers (Fangzhou Xiong, Zhiyong Liu, Xu Yang)....Pages 497-505
Learning, Storing, and Disentangling Correlated Patterns in Neural Networks (Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang et al.)....Pages 506-514
MultNet: An Efficient Network Representation Learning for Large-Scale Social Relation Extraction (Jun Yuan, Neng Gao, Lei Wang, Zeyi Liu)....Pages 515-524
Geometrical Formulation of the Nonnegative Matrix Factorization (Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata)....Pages 525-534
Information Geometric Perspective of Modal Linear Regression (Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino)....Pages 535-545
Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync Commented Video Tagging (Zehua Zeng, Cong Xue, Neng Gao, Lei Wang, Zeyi Liu)....Pages 546-559
Accurate Q-Learning (Zhihui Hu, Yubin Jiang, Xinghong Ling, Quan Liu)....Pages 560-570
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning (Jingzhuo Yang, Yu Wang, Qinghua Hu)....Pages 571-581
Dynamic Maintenance of Decision Rules for Decision Attribute Values’ Changing (Yingyao Wang, Jianhua Dai, Hong Shi)....Pages 582-592
Label Distribution Learning Based on Ensemble Neural Networks (Yansheng Zhai, Jianhua Dai, Hong Shi)....Pages 593-602
Neural Information Processing in Hierarchical Prototypical Networks (Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu)....Pages 603-611
Regularized Tensor Learning with Adaptive One-Class Support Vector Machines (Ali Anaissi, Young Lee, Mohamad Naji)....Pages 612-624
Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation (Yezi Liu)....Pages 625-637
Visualization Method of Viewpoints Latent in a Dataset (Hideaki Ishibashi)....Pages 638-647
Localized Multiple Sources Self-Organizing Map (Ludovic Platon, Farida Zehraoui, Fariza Tahi)....Pages 648-659
Heterogeneous Dyadic Multi-task Learning with Implicit Feedback (Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov)....Pages 660-672
Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes (Shota Utsumi, Keisuke Kameyama)....Pages 673-683
Back Matter ....Pages 685-687