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ORCID24th ICONIP 2017: Guangzhou, China
- Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10634, Springer 2017, ISBN 978-3-319-70086-1
Machine Learning
- Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He:
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. 3-12 - Yunxiao Shi, Xiangnan He, Han Wu, Zhong-Xiao Jin, Wenlian Lu:
Adaptive L_p (0 Regularization: Oracle Property and Applications. 13-23 - Tianyue Zhang, Baile Xu, Furao Shen:
Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering. 24-32 - Zhizhuo Han, Shizhong Liao:
Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space. 33-42 - Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang:
Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. 43-52 - Fang Liu, Fei Zhao, Mi Tong, Yan Yang, Zhenhao Yu:
Hybrid RVM Algorithm Based on the Prediction Variance. 53-63 - Kosuke Yoshimura, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Multi-label Classification Using RAkEL. 64-73 - Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang:
A Self-adaptive Growing Method for Training Compact RBF Networks. 74-81 - Zhihui Lao, Zhiheng Zhou, Junchu Huang:
Incremental Extreme Learning Machine via Fast Random Search Method. 82-90 - Rongrong Wu, He Huang, Tingwen Huang:
Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal Coherence. 91-99 - Yosuke Fukuchi
, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai:
Application of Instruction-Based Behavior Explanation to a Reinforcement Learning Agent with Changing Policy. 100-108 - Peng Wu, Jeff Orchard:
Using Flexible Neural Trees to Seed Backpropagation. 109-116 - Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
Joint Neighborhood Subgraphs Link Prediction. 117-123 - Cheng Xu, Yue Wu, Zongtian Liu:
Multimodal Fusion with Global and Local Features for Text Classification. 124-134 - Tieran Zheng, Jiqing Han, Guibin Zheng:
Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification. 135-143 - Pengfei Wang, Zhipeng Xie, Junfeng Hu:
Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM. 144-154 - Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. 155-165 - James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Solving the Local-Minimum Problem in Training Deep Learning Machines. 166-174 - Yijie Pang, Shaochun Wu, Honghao Zhu:
The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation. 175-184 - Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu:
Hybrid Collaborative Recommendation via Semi-AutoEncoder. 185-193 - Xinjuan Li, Jie Yu, Lingyu Xu, Gaowei Zhang:
Time Series Classification with Deep Neural Networks Based on Hurst Exponent Analysis. 194-204 - Lisa Medrouk, Anna Pappa:
Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus. 205-212 - Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie:
Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search. 213-221 - Longhao Yuan, Qibin Zhao, Jianting Cao:
Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. 222-229 - Ashutosh Saboo, Anant Sharma, Tirtharaj Dash:
GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. 230-239 - Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich:
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. 240-247 - Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Multi-view Label Space Dimension Reduction. 248-258 - Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu:
Large-Margin Supervised Hashing. 259-269 - Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu:
Three-Dimensional Surface Feature for Hyperspectral Imagery Classification. 270-278 - Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng:
Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM. 279-288 - Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov:
Robust Kernel Approximation for Classification. 289-296 - Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto:
A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. 297-304 - Yan Yan, ShiNing Li, Zhe Yang, Xiao Zhang, Jing Li, Anyi Wang, Jingyu Zhang:
Multi-label Learning with Label-Specific Feature Selection. 305-315 - Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio:
Neural Networks for Efficient Nonlinear Online Clustering. 316-324 - Xinghao Yang, Weifeng Liu:
Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. 325-334 - Satoshi Nakatsu, Norikazu Takahashi:
A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence. 335-344 - Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. 345-355 - Ji Zhao, Hongbin Zhang:
Projected Kernel Recursive Least Squares Algorithm. 356-365 - Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao:
Resource Allocation and Optimization Based on Queuing Theory and BP Network. 366-374 - Nikolaos Gianniotis:
Linear Dimensionality Reduction for Time Series. 375-383 - Liangang Zhang, Yang Li, Huanhuan Chen:
An Effective Martin Kernel for Time Series Classification. 384-393 - Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal:
Text Classification Using Lifelong Machine Learning. 394-404 - Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow:
Wake-Sleep Variational Autoencoders for Language Modeling. 405-414 - Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun:
Educational and Non-educational Text Classification Based on Deep Gaussian Processes. 415-423 - Hiu Tung Wong, Chi-Sing Leung, Sam Kwong:
A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks. 424-433 - Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong:
Locality-Sensitive Term Weighting for Short Text Clustering. 434-444 - Pramitha Perera, Yu-Chu Tian, Colin J. Fidge, Wayne Kelly:
A Comparison of Supervised Machine Learning Algorithms for Classification of Communications Network Traffic. 445-454 - Anuchin Chatchinarat, Kok Wai Wong, Chun Che Fung:
Emotion Classification from Electroencephalogram Using Fuzzy Support Vector Machine. 455-462 - Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu:
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. 463-473 - Zhibin Chen, Yunming Ye, Xiaofei Xu, Feng Li:
Multi-roles Graph Based Extractive Summarization. 474-483 - Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang:
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring. 484-496 - Denis Maurel, Jérémie Sublime, Sylvain Lefebvre:
Incremental Self-Organizing Maps for Collaborative Clustering. 497-504 - Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen:
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. 505-514 - Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford:
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. 515-525 - Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko:
Atomic Distance Kernel for Material Property Prediction. 526-533 - Ting Li, Dongsheng Yang, Qinglai Wei, Huaguang Zhang:
Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry. 534-544 - Zhanquan Sun, Feng Li, Huifen Huang:
Large Scale Image Classification Based on CNN and Parallel SVM. 545-555 - Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Malware Detection Using Deep Transferred Generative Adversarial Networks. 556-564 - Jorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite:
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. 565-575 - Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan:
Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. 576-585 - Zhangcheng Wang, Ya Li, Xinmei Tian:
Semi-supervised Coefficient-Based Distance Metric Learning. 586-596 - Xin Luo, Zhen-Duo Chen, Gao-Yuan Du, Xin-Shun Xu:
Improving Hashing by Leveraging Multiple Layers of Deep Networks. 597-607 - Masahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai, Satoshi Kurihara:
Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex. 608-617 - Xinrong Ji, Yibin Hou, Cuiqin Hou, Fang Gao, Shulong Wang:
Energy-Balanced Distributed Sparse Kernel Machine in Wireless Sensor Network. 618-627 - Daniel Varela, José Santos Reyes:
A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model. 628-638 - Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Shigeru Nakagawa:
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. 639-647 - Xuemei Sun, Jianrong Cao, Chengdong Li, Ya Tian, Shusheng Zhao:
Targets Detection Based on the Prejudging and Prediction Mechanism. 648-657 - Jiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu:
An Image Quality Evaluation Method Based on Joint Deep Learning. 658-665 - Zijing Chen, Jun Li, Zhe Chen, Xinge You:
Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network. 666-676 - Zhe Chen, Zijing Chen:
RBNet: A Deep Neural Network for Unified Road and Road Boundary Detection. 677-687 - Yanming Yu, Guoxian Yu, Xia Chen, Ya-Zhou Ren:
Semi-supervised Multi-label Linear Discriminant Analysis. 688-698 - Haochuan Jiang, Kaizhu Huang, Rui Zhang:
Field Support Vector Regression. 699-708 - Xi Yang, Kaizhu Huang, Rui Zhang:
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. 709-719 - Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improve Deep Learning with Unsupervised Objective. 720-728
Reinforcement Learning
- Liao Zhu, Ruizhuo Song, Yulong Xie, Junsong Li:
Adaptive Dynamic Programming for Direct Current Servo Motor. 731-740 - Ziyang Wang, Qinglai Wei, Derong Liu:
An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems. 741-748 - Ryo Iwaki, Minoru Asada:
Implicit Incremental Natural Actor Critic. 749-758 - Yuki Goto, Katsunari Shibata:
Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural Network. 759-767 - Jiayuan Yang, Yanjie Li, Haoyao Chen, Jiangang Li:
Average Reward Reinforcement Learning for Semi-Markov Decision Processes. 768-777 - Bo Zhao, Xinliang Liu, Derong Liu, Yuanchun Li:
Neuro-control of Nonlinear Systems with Unknown Input Constraints. 778-788 - Chris Reinke, Eiji Uchibe, Kenji Doya:
Average Reward Optimization with Multiple Discounting Reinforcement Learners. 789-800 - Chunbin Qin, Xianxing Liu, Guoquan Liu, Jun Wang, Dehua Zhang:
Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems. 801-810 - Qian Zhou, Xiaofang Zhang, Jin Xu, Bin Liang:
Large-Scale Bandit Approaches for Recommender Systems. 811-821 - Qichao Zhang, Dongbin Zhao, Sibo Zhang:
Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. 822-830 - Fangyuan Li, Jiahu Qin, Yu Kang, Wei Xing Zheng:
Consensus Based Distributed Reinforcement Learning for Nonconvex Economic Power Dispatch in Microgrids. 831-839 - Zhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song:
FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent. 840-848 - Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers. 849-859
Big Data Analysis
- Fares Alharbi, Yu-Chu Tian, Maolin Tang, Md. Hasanul Ferdaus:
Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine Placement. 863-871 - Yang Yue, Ying Li, Tong Jia, Zhonghai Wu:
An Iterative Model for Predicting Film Attendance. 872-882 - Houda Jmila, Mohamed Ibn Khedher, Mounim A. El-Yacoubi:
Estimating VNF Resource Requirements Using Machine Learning Techniques. 883-892 - Heng Zhang, Haibo Hou, Libo Zhang, Hongjun Zhang, Yanjun Wu:
Accelerating Core Decomposition in Large Temporal Networks Using GPUs. 893-903 - Hang Yu, Qian Yin, Ping Guo:
Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. 904-911 - Yanfei Zhang, Junbin Gao:
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. 912-921 - Chaoqun Wan, Xinmei Tian:
A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes. 922-932
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