Abstract is missing.
- fMRI Semantic Category Decoding Using Linguistic Encoding of Word EmbeddingsSubba Reddy Oota, Naresh Manwani, Raju S. Bapi. 3-15 [doi]
- Named Entity Disambiguation via Probabilistic Graphical Model with Embedding FeaturesWeixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao. 16-27 [doi]
- Category-Embodied Knowledge EmbeddingMaoyuan Zhang, Qi Wang, Zhou Xu, Jianping Zhu, Shuyuan Sun, Yang Wen. 28-37 [doi]
- Unsupervised Ensemble Learning Based on Graph Embedding for Image ClusteringXiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu. 38-47 [doi]
- Potential Probability of Negative Triples in Knowledge Graph EmbeddingShengyue Luo, Wei Fang. 48-58 [doi]
- Event Causality Identification by Modeling Events and Relation EmbeddingZhenyu Yang, Wei Liu, Zongtian Liu. 59-68 [doi]
- Topic-Bigram Enhanced Word Embedding ModelQi Yang, Ruixuan Li, Yuhua Li, Qilei Liu. 69-81 [doi]
- Hybridized Character-Word Embedding for Korean Traditional Document TranslationHosang Yu, Gil-Jin Jang, Minho Lee. 82-89 [doi]
- Word Embedding Based on Low-Rank Doubly Stochastic Matrix DecompositionDenis Sedov, Zhirong Yang. 90-100 [doi]
- Meta-path Based Heterogeneous Graph Embedding for Music RecommendationQianqi Fang, Ling Liu, Junliang Yu, Junhao Wen. 101-113 [doi]
- Knowledge Graph Embedding via Entities' Type Mapping MatrixMd. Mostafizur Rahman, Atsuhiro Takasu. 114-125 [doi]
- A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-TreeWenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu, Nana Li. 126-137 [doi]
- Semi-coupled Transform LearningJyoti Maggu, Angshul Majumdar. 141-150 [doi]
- A Refined Spatial Transformer NetworkChang Shu, Xi Chen, Chong Yu, Hua Han. 151-161 [doi]
- Convolutional Transform LearningJyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar. 162-174 [doi]
- Delving into Diversity in Substitute Ensembles and Transferability of Adversarial ExamplesJie Hang, KeJi Han, Yun Li. 175-187 [doi]
- Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLPRavi Shankar Devanapalli, V. Susheela Devi. 188-197 [doi]
- Deep Transfer Learning via Minimum Enclosing BallsZhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei, Shaoning Pang, Yue Leng. 198-207 [doi]
- Cross-domain Recommendation with Probabilistic Knowledge TransferQian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang. 208-219 [doi]
- Transfer Learning with Active Queries for Relational Data Modeling Across Multiple Information NetworksKe-Jia Chen, Kai Zhang, Xi-Lin Jiang, Yunyun Wang. 220-229 [doi]
- Semi-supervised Transfer Metric Learning with Relative ConstraintsRakesh Kumar Sanodiya, Sriparna Saha 0001, Jimson Mathew, Prateek Bangwal. 230-241 [doi]
- Fuzzy Domain Adaptation Using Unlabeled Target DataHua Zuo, Guangquan Zhang, Jie Lu. 242-250 [doi]
- Reinforcement Learning Policy with Proportional-Integral ControlYe Huang, Chaochen Gu, Kaijie Wu 0002, Xinping Guan. 253-264 [doi]
- Data-Efficient Reinforcement Learning Using Active Exploration MethodDongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang. 265-276 [doi]
- Averaged-A3C for Asynchronous Deep Reinforcement LearningSong Chen, Xiaofang Zhang, Jin-Jin Wu, Di Liu. 277-288 [doi]
- Deep Reinforcement Learning for Multi-resource Cloud Job SchedulingJianpeng Lin, Zhiping Peng, Delong Cui. 289-302 [doi]
- Accelerating Spatio-Temporal Deep Reinforcement Learning Model for Game StrategyYifan Li, Yuchun Fang. 303-312 [doi]
- ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement LearningJatin Goyal, Abhijith Madan, Akshay Narayan, Shrisha Rao. 313-325 [doi]
- Driving Control with Deep and Reinforcement Learning in The Open Racing Car SimulatorYuanheng Zhu, Dongbin Zhao. 326-334 [doi]
- An Adaptive Box-Normalization Stock Index Trading Strategy Based on Reinforcement LearningYingying Zhu, Hui Yang, Jianmin Jiang, Qiang Huang. 335-346 [doi]
- Heterogeneous Multi-task Learning of Evaluation Functions for Chess and ShogiShanchuan Wan, Tomoyuki Kaneko. 347-358 [doi]
- Reinforcement Learning Based Dialogue Management StrategyTulika Saha, Dhawal Gupta, Sriparna Saha 0001, Pushpak Bhattacharyya. 359-372 [doi]
- A Family of Maximum Margin Criterion for Adaptive LearningMiao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi. 375-387 [doi]
- Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient SamplesHideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa. 388-398 [doi]
- Enhanced Metric Learning via Dempster-Shafer Evidence TheoryYing Li, Yabo Zhang, Yaxin Peng. 399-410 [doi]
- InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse DetectionGuangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu. 411-422 [doi]
- Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional DataAli Braytee, Ali Anaissi, Paul J. Kennedy. 423-434 [doi]
- Task and Instance Quadratic Ordering for Active Online Multitask LearningJing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya, Daisuke Miyamoto. 435-447 [doi]
- Learning from Titles to Recommend Keywords for Academic PapersHuifang Ma, Fang Liu, Qin Xia, Li Yu. 448-459 [doi]
- Zero-Shot Learning with SuperclassesYuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu. 460-472 [doi]
- Active Learning Methods with Deep Gaussian ProcessesJingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu. 473-483 [doi]
- Transductive Learning with String Kernels for Cross-Domain Text ClassificationRadu-Tudor Ionescu, Andrei Madalin Butnaru. 484-496 [doi]
- Overcoming Catastrophic Forgetting with Self-adaptive IdentifiersFangzhou Xiong, Zhiyong Liu, Xu Yang 0004. 497-505 [doi]
- Learning, Storing, and Disentangling Correlated Patterns in Neural NetworksXiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu. 506-514 [doi]
- MultNet: An Efficient Network Representation Learning for Large-Scale Social Relation ExtractionJun Yuan, Neng Gao, Lei Wang, Zeyi Liu. 515-524 [doi]
- Geometrical Formulation of the Nonnegative Matrix FactorizationShotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata. 525-534 [doi]
- Information Geometric Perspective of Modal Linear RegressionKeishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino. 535-545 [doi]
- Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync Commented Video TaggingZehua Zeng, Cong Xue, Neng Gao, Lei Wang, Zeyi Liu. 546-559 [doi]
- Accurate Q-LearningZhihui Hu, Yubin Jiang, Xinghong Ling, Quan Liu. 560-570 [doi]
- Monotonicity Extraction for Monotonic Bayesian Networks Parameter LearningJingzhuo Yang, Yu Wang, Qinghua Hu. 571-581 [doi]
- Dynamic Maintenance of Decision Rules for Decision Attribute Values' ChangingYingyao Wang, Jianhua Dai, Hong Shi. 582-592 [doi]
- Label Distribution Learning Based on Ensemble Neural NetworksYansheng Zhai, Jianhua Dai, Hong Shi. 593-602 [doi]
- Neural Information Processing in Hierarchical Prototypical NetworksZilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu. 603-611 [doi]
- Regularized Tensor Learning with Adaptive One-Class Support Vector MachinesAli Anaissi, Young Lee, Mohamad Naji. 612-624 [doi]
- Semi-supervised Multi-label Dimensionality Reduction via Low Rank RepresentationYezi Liu. 625-637 [doi]
- Visualization Method of Viewpoints Latent in a DatasetHideaki Ishibashi. 638-647 [doi]
- Localized Multiple Sources Self-Organizing MapLudovic Platon, Farida Zehraoui, Fariza Tahi. 648-659 [doi]
- Heterogeneous Dyadic Multi-task Learning with Implicit FeedbackSimon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov. 660-672 [doi]
- Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output CodesShota Utsumi, Keisuke Kameyama. 673-683 [doi]