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

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