Abstract is missing.
- Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances GenerationWei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He. 3-12 [doi]
- Adaptive L_p (0 Regularization: Oracle Property and ApplicationsYunxiao Shi, Xiangnan He 0002, Han Wu, Zhong-Xiao Jin, Wenlian Lu. 13-23 [doi]
- Fuzzy Self-Organizing Incremental Neural Network for Fuzzy ClusteringTianyue Zhang, Baile Xu, Furao Shen. 24-32 [doi]
- Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature SpaceZhizhuo Han, Shizhong Liao. 33-42 [doi]
- Topology Learning Embedding: A Fast and Incremental Method for Manifold LearningTao Zhu, Furao Shen, Jinxi Zhao, Yu Liang. 43-52 [doi]
- Hybrid RVM Algorithm Based on the Prediction VarianceFang Liu, Fei Zhao, Mi Tong, Yan Yang, Zhenhao Yu. 53-63 [doi]
- Quality Control for Crowdsourced Multi-label Classification Using RAkELKosuke Yoshimura, Yukino Baba, Hisashi Kashima. 64-73 [doi]
- A Self-adaptive Growing Method for Training Compact RBF NetworksBaile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang. 74-81 [doi]
- Incremental Extreme Learning Machine via Fast Random Search MethodZhihui Lao, Zhiheng Zhou, Junchu Huang. 82-90 [doi]
- Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal CoherenceRongrong Wu, He Huang, Tingwen Huang. 91-99 [doi]
- Application of Instruction-Based Behavior Explanation to a Reinforcement Learning Agent with Changing PolicyYosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai. 100-108 [doi]
- Using Flexible Neural Trees to Seed BackpropagationPeng Wu, Jeff Orchard. 109-116 [doi]
- Joint Neighborhood Subgraphs Link PredictionDinh Tran-Van, Alessandro Sperduti, Fabrizio Costa. 117-123 [doi]
- Multimodal Fusion with Global and Local Features for Text ClassificationCheng Xu, Yue Wu, Zongtian Liu. 124-134 [doi]
- Learning Deep Neural Network Based Kernel Functions for Small Sample Size ClassificationTieran Zheng, Jiqing Han, Guibin Zheng. 135-143 [doi]
- Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTMPengfei Wang, Zhipeng Xie, Junfeng Hu. 144-154 [doi]
- Binary Stochastic Representations for Large Multi-class ClassificationThomas Gerald, Nicolas Baskiotis, Ludovic Denoyer. 155-165 [doi]
- Solving the Local-Minimum Problem in Training Deep Learning MachinesJames Ting-Ho Lo, Yichuan Gui, Yun Peng. 166-174 [doi]
- The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire InvestigationYijie Pang, Shaochun Wu, Honghao Zhu. 175-184 [doi]
- Hybrid Collaborative Recommendation via Semi-AutoEncoderShuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu. 185-193 [doi]
- Time Series Classification with Deep Neural Networks Based on Hurst Exponent AnalysisXinjuan Li, Jie Yu, Lingyu Xu, Gaowei Zhang. 194-204 [doi]
- Deep Learning Model for Sentiment Analysis in Multi-lingual CorpusLisa Medrouk, Anna Pappa. 205-212 [doi]
- Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local SearchIbraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie. 213-221 [doi]
- Completion of High Order Tensor Data with Missing Entries via Tensor-Train DecompositionLonghao Yuan, Qibin Zhao, Jianting Cao. 222-229 [doi]
- GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing MapsAshutosh Saboo, Anant Sharma, Tirtharaj Dash. 230-239 [doi]
- A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix ApproximationPeitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich. 240-247 [doi]
- Multi-view Label Space Dimension ReductionQi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu. 248-258 [doi]
- Large-Margin Supervised HashingXiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu. 259-269 [doi]
- Three-Dimensional Surface Feature for Hyperspectral Imagery ClassificationSen Jia, Kuilin Wu, Meng Zhang, Jie Hu. 270-278 [doi]
- Stochastic Sequential Minimal Optimization for Large-Scale Linear SVMShili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng. 279-288 [doi]
- Robust Kernel Approximation for ClassificationFanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov. 289-296 [doi]
- A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means ClusteringKeiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto. 297-304 [doi]
- Multi-label Learning with Label-Specific Feature SelectionYan Yan, ShiNing Li, Zhe Yang, Xiao Zhang, Jing Li, Anyi Wang, Jingyu Zhang. 305-315 [doi]
- Neural Networks for Efficient Nonlinear Online ClusteringYanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio. 316-324 [doi]
- Multiple Scale Canonical Correlation Analysis Networks for Two-View Object RecognitionXinghao Yang, Weifeng Liu 0001. 325-334 [doi]
- A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-DivergenceSatoshi Nakatsu, Norikazu Takahashi. 335-344 [doi]
- Iterative Local Hyperlinear Learning Based Relief for Feature Weight EstimationXiaojuan Huang, Li Zhang 0004, Bangjun Wang, Zhao Zhang 0001, Fanzhang Li. 345-355 [doi]
- Projected Kernel Recursive Least Squares AlgorithmJi Zhao, Hongbin Zhang. 356-365 [doi]
- Resource Allocation and Optimization Based on Queuing Theory and BP NetworkHong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao. 366-374 [doi]
- Linear Dimensionality Reduction for Time SeriesNikolaos Gianniotis. 375-383 [doi]
- An Effective Martin Kernel for Time Series ClassificationLiangang Zhang, Yang Li, Huanhuan Chen. 384-393 [doi]
- Text Classification Using Lifelong Machine LearningMuhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal. 394-404 [doi]
- Wake-Sleep Variational Autoencoders for Language ModelingXiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow. 405-414 [doi]
- Educational and Non-educational Text Classification Based on Deep Gaussian ProcessesHuijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun. 415-423 [doi]
- A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward NetworksHiu Tung Wong, Chi-Sing Leung, Sam Kwong. 424-433 [doi]
- Locality-Sensitive Term Weighting for Short Text ClusteringChutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong. 434-444 [doi]
- A Comparison of Supervised Machine Learning Algorithms for Classification of Communications Network TrafficPramitha Perera, Yu-Chu Tian, Colin J. Fidge, Wayne Kelly. 445-454 [doi]
- Emotion Classification from Electroencephalogram Using Fuzzy Support Vector MachineAnuchin Chatchinarat, Kok Wai Wong, Chun Che Fung. 455-462 [doi]
- Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's DiseaseXiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu. 463-473 [doi]
- Multi-roles Graph Based Extractive SummarizationZhibin Chen, Yunming Ye, Xiaofei Xu, Feng Li. 474-483 [doi]
- Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health MonitoringAli Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang. 484-496 [doi]
- Incremental Self-Organizing Maps for Collaborative ClusteringDenis Maurel, Jérémie Sublime, Sylvain Lefebvre. 497-504 [doi]
- Efficient Neighborhood Covering Reduction with Submodular Function OptimizationQiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen. 505-514 [doi]
- Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient LearningAhmad Shahi, Jeremiah D. Deng, Brendon J. Woodford. 515-525 [doi]
- Atomic Distance Kernel for Material Property PredictionHirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko. 526-533 [doi]
- Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor IndustryTing Li, Dongsheng Yang, Qinglai Wei, Huaguang Zhang. 534-544 [doi]
- Large Scale Image Classification Based on CNN and Parallel SVMZhanquan Sun, Feng Li, Huifen Huang. 545-555 [doi]
- Malware Detection Using Deep Transferred Generative Adversarial NetworksJin Young Kim, Seok-Jun Bu, Sung-Bae Cho. 556-564 [doi]
- A Grassmannian Approach to Zero-Shot Learning for Network Intrusion DetectionJorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite. 565-575 [doi]
- Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring ModelJian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan. 576-585 [doi]
- Semi-supervised Coefficient-Based Distance Metric LearningZhangcheng Wang, Ya Li, Xinmei Tian. 586-596 [doi]
- Improving Hashing by Leveraging Multiple Layers of Deep NetworksXin Luo, Zhen-Duo Chen, Gao-Yuan Du, Xin-Shun Xu. 597-607 [doi]
- Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal CortexMasahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai, Satoshi Kurihara. 608-617 [doi]
- Energy-Balanced Distributed Sparse Kernel Machine in Wireless Sensor NetworkXinrong Ji, Yibin Hou, Cuiqin Hou, Fang Gao, Shulong Wang. 618-627 [doi]
- A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice ModelDaniel Varela, José Santos. 628-638 [doi]
- Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series AnalysisToshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Shigeru Nakagawa. 639-647 [doi]
- Targets Detection Based on the Prejudging and Prediction MechanismXuemei Sun, Jianrong Cao, Chengdong Li, Ya Tian, Shusheng Zhao. 648-657 [doi]
- An Image Quality Evaluation Method Based on Joint Deep LearningJiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu. 658-665 [doi]
- Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional NetworkZijing Chen, Jun Li, Zhe Chen, Xinge You. 666-676 [doi]
- RBNet: A Deep Neural Network for Unified Road and Road Boundary DetectionZhe Chen, Zijing Chen. 677-687 [doi]
- Semi-supervised Multi-label Linear Discriminant AnalysisYanming Yu, Guoxian Yu, Xia Chen, Ya-Zhou Ren. 688-698 [doi]
- Field Support Vector RegressionHaochuan Jiang, Kaizhu Huang, Rui Zhang. 699-708 [doi]
- Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to ClusteringXi Yang, Kaizhu Huang, Rui Zhang. 709-719 [doi]
- Improve Deep Learning with Unsupervised ObjectiveShufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain. 720-728 [doi]
- Adaptive Dynamic Programming for Direct Current Servo MotorLiao Zhu, Ruizhuo Song, YuLong Xie, Junsong Li. 731-740 [doi]
- An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear SystemsZiyang Wang, Qinglai Wei, Derong Liu. 741-748 [doi]
- Implicit Incremental Natural Actor CriticRyo Iwaki, Minoru Asada. 749-758 [doi]
- Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural NetworkYuki Goto, Katsunari Shibata. 759-767 [doi]
- Average Reward Reinforcement Learning for Semi-Markov Decision ProcessesJiayuan Yang, Yanjie Li, Haoyao Chen, Jiangang Li. 768-777 [doi]
- Neuro-control of Nonlinear Systems with Unknown Input ConstraintsBo Zhao, Xinliang Liu, Derong Liu, Yuanchun Li. 778-788 [doi]
- Average Reward Optimization with Multiple Discounting Reinforcement LearnersChris Reinke, Eiji Uchibe, Kenji Doya. 789-800 [doi]
- Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched SystemsChunbin Qin, Xianxing Liu, Guoquan Liu, Jun Wang, Dehua Zhang. 801-810 [doi]
- Large-Scale Bandit Approaches for Recommender SystemsQian Zhou, Xiaofang Zhang, Jin Xu, Bin Liang. 811-821 [doi]
- Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum GamesQichao Zhang, Dongbin Zhao, Sibo Zhang. 822-830 [doi]
- Consensus Based Distributed Reinforcement Learning for Nonconvex Economic Power Dispatch in MicrogridsFangyuan Li, Jiahu Qin, Yu Kang, Wei Xing Zheng. 831-839 [doi]
- FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient AscentZhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song. 840-848 [doi]
- Policy Gradient Reinforcement Learning for I/O Reordering on Storage ServersKumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara. 849-859 [doi]
- Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine PlacementFares Alharbi, Yu-Chu Tian, Maolin Tang, Md Hasanul Ferdaus. 863-871 [doi]
- An Iterative Model for Predicting Film AttendanceYang Yue, Ying Li, Tong Jia, Zhonghai Wu. 872-882 [doi]
- Estimating VNF Resource Requirements Using Machine Learning TechniquesHouda Jmila, Mohamed Ibn Khedher, Mounim A. El-Yacoubi. 883-892 [doi]
- Accelerating Core Decomposition in Large Temporal Networks Using GPUsHeng Zhang, Haibo Hou, Libo Zhang, Hongjun Zhang, Yanjun Wu. 893-903 [doi]
- Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting ModelHang Yu, Qian Yin, Ping Guo. 904-911 [doi]
- Assessing the Performance of Deep Learning Algorithms for Newsvendor ProblemYanfei Zhang, Junbin Gao. 912-921 [doi]
- A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple AttributesChaoqun Wan, Xinmei Tian. 922-932 [doi]