Table of Contents

• Chaotic Feature Selection and Reconstruction in Time Series PredictionShamina Hussein, Rohitash Chandra. 3-11 [doi]
• L1/2 Norm Regularized Echo State Network for Chaotic Time Series PredictionMeiling Xu, Min Han, Shunshoku Kanae. 12-19 [doi]
• SVD and Text Mining Integrated Approach to Measure Effects of Disasters on Japanese Economics - Effects of the Thai Flooding in 2011Yuriko Yano, Yukari Shirota. 20-29 [doi]
• Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series ForecastingTakaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi. 30-37 [doi]
• Neuron-Network Level Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series PredictionRavneil Nand, Emmenual Reddy, Mohammed Naseem. 38-48 [doi]
• Yet Another Schatten Norm for Tensor RecoveryChao Li, Lili Guo, Yu Tao, Jinyu Wang, Lin Qi, Zheng Dou. 51-60 [doi]
• Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase CodingNaoyuki Sato. 61-69 [doi]
• Combining Deep Learning and Preference Learning for Object TrackingShu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez. 70-77 [doi]
• A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced DataAli Braytee, Wei Liu, Paul J. Kennedy. 78-86 [doi]
• Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and ClusteringNamgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki. 87-95 [doi]
• Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm OptimizationJiaxi Li, Junfu Yin, Yuk Ying Chung, Feng Sha. 96-103 [doi]
• Approximate Inference Method for Dynamic Interactions in Larger Neural PopulationsChristian Donner, Hideaki Shimazaki. 104-110 [doi]
• Features Learning and Transformation Based on Deep AutoencodersEric Janvier, Thierry Couronne, Nistor Grozavu. 111-118 [doi]
• t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of FreedomJun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa. 119-128 [doi]
• Parcellating Whole Brain for Individuals by Simple Linear Iterative ClusteringJing Wang, Zilan Hu, Haixian Wang. 131-139 [doi]
• Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix FactorizationXuan Li, Zilan Hu, Haixian Wang. 140-147 [doi]
• Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite ImagesJérémie Sublime, Antoine Cornuéjols, Younès Bennani. 148-155 [doi]
• Towards Ontology Reasoning for Topological Cluster LabelingHatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Equille. 156-164 [doi]
• Overlapping Community Detection Using Core Label Propagation and Belonging FunctionJean-Philippe Attal, Maria Malek, Marc Zolghadri. 165-174 [doi]
• A New Clustering Algorithm for Dynamic DataParisa Rastin, Tong Zhang, Guénaël Cabanes. 175-182 [doi]
• Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched InterconnectionsBo Zhao, Ding Wang, Guang Shi, Derong Liu, Yuanchun Li. 185-192 [doi]
• Optimal Constrained Neuro-Dynamic Programming Based Self-learning Battery Management in MicrogridsQinglai Wei, Derong Liu. 193-201 [doi]
• Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a BudgetKazuyoshi Kato, Koichiro Yamauchi. 202-210 [doi]
• A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample SparsificationHaijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang. 211-220 [doi]
• Sparse Kernel-Based Least Squares Temporal Difference with Prioritized SweepingCijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, Jianwei Zhai, Peng Zhang. 221-230 [doi]
• Vietnamese POS Tagging for Social Media TextNgo Xuan Bach, Nguyen Dieu Linh, Tu Minh Phuong. 233-242 [doi]
• Scaled Conjugate Gradient Learning for Quaternion-Valued Neural NetworksCalin-Adrian Popa. 243-252 [doi]
• Performance of Qubit Neural Network in Chaotic Time Series ForecastingTaisei Ueguchi, Nobuyuki Matsui, Teijiro Isokawa. 253-260 [doi]
• The Evolutionary Process of Image Transition in Conjunction with Box and Strip MutationAneta Neumann, Bradley Alexander, Frank Neumann. 261-268 [doi]
• A Preliminary Model for Understanding How Life Experiences Generate Human Emotions and Behavioural ResponsesD. A. Irosh P. Fernando, Björn Rüffer. 269-278 [doi]
• Artificial Bee Colony Algorithm Based on Neighboring Information LearningLaizhong Cui, Genghui Li, Qiuzhen Lin, Jianyong Chen, Nan Lu, Guanjing Zhang. 279-289 [doi]
• Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic SystemsChengdong Li, Li Wang, Zixiang Ding, Guiqing Zhang. 290-298 [doi]
• Memetic Cooperative Neuro-Evolution for Chaotic Time Series PredictionGary Wong, Rohitash Chandra, Anuraganand Sharma. 299-308 [doi]
• SLA Management Framework to Avoid Violation in CloudWalayat Hussain, Farookh Khadeer Hussain, Omar Khadeer Hussain. 309-316 [doi]
• Pattern Retrieval by Quaternionic Associative Memory with Dual ConnectionsToshifumi Minemoto, Teijiro Isokawa, Masaki Kobayashi, Haruhiko Nishimura, Nobuyuki Matsui. 317-325 [doi]
• A GPU Implementation of a Bat Algorithm Trained Neural NetworkAmit Roy Choudhury, Rishabh Jain, Kapil Sharma. 326-334 [doi]
• Investigating a Dictionary-Based Non-negative Matrix Factorization in Superimposed Digits Classification TasksSomnuk Phon-Amnuaisuk, Soo-Young Lee. 335-343 [doi]
• A Swarm Intelligence Algorithm Inspired by TwitterZhiHui Lv, Furao Shen, Jinxi Zhao, Tao Zhu. 344-351 [doi]
• Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus UnveiledAyangleima Laishram, Satya Prakash Sahu, Vineet Padmanabhan, Siba Kumar Udgata. 352-361 [doi]
• Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification LearningSascha Saralajew, David Nebel, Thomas Villmann. 362-371 [doi]
• Semi-supervised Classification by Nuclear-Norm Based Transductive Label PropagationLei Jia, Zhao Zhang, Yan Zhang. 375-384 [doi]
• Effective and Efficient Multi-label Feature Selection Approaches via Modifying Hilbert-Schmidt Independence CriterionJianhua Xu. 385-395 [doi]
• Storm Surge Prediction for Louisiana Coast Using Artificial Neural NetworksQian Wang, Jianhua Chen, Kelin Hu. 396-405 [doi]
• Factorization of Multiple Tensors for Supervised Feature ExtractionWei Liu. 406-414 [doi]
• A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label ClassificationJiapeng Luo, Lei Cao, Jianhua Xu. 415-424 [doi]
• Fast Agglomerative Information Bottleneck Based Trajectory ClusteringYuejun Guo, Qing Xu 0002, Yang Fan, Sheng Liang, Mateu Sbert. 425-433 [doi]
• Anomaly Detection Using Correctness Matching Through a Neighborhood Rough SetPey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah. 434-441 [doi]
• Learning Class-Informed Semantic SimilarityTinghua Wang, Wei Li. 442-449 [doi]
• Aggregated Temporal Tensor Factorization Model for Point-of-interest RecommendationShenglin Zhao, Michael R. Lyu, Irwin King. 450-458 [doi]
• Multilevel-Multigroup Analysis Using a Hierarchical Tensor SOM NetworkHideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa. 459-466 [doi]
• A Wavelet Deep Belief Network-Based Classifier for Medical ImagesAmin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi. 467-474 [doi]
• Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China SeaLei Zhu, Jian Jin, Alex J. Cannon, William W. Hsieh. 475-482 [doi]
• Credit Card Fraud Detection Using Convolutional Neural NetworksKang Fu, Dawei Cheng, Yi Tu, Liqing Zhang. 483-490 [doi]
• An Efficient Data Extraction Framework for Mining Wireless Sensor NetworksMd. Mamunur Rashid, Iqbal Gondal, Joarder Kamruzzaman. 491-498 [doi]
• Incorporating Prior Knowledge into Context-Aware RecommendationHaitao Zheng, Xiaoxi Mao. 499-508 [doi]
• Unsupervised Video Hashing by Exploiting Spatio-Temporal FeatureChao Ma, Yun Gu, Wei Liu, Jie Yang, Xiangjian He. 511-518 [doi]
• Selective Dropout for Deep Neural NetworksErik Barrow, Mark Eastwood, Chrisina Jayne. 519-528 [doi]
• Real-Time Action Recognition in Surveillance Videos Using ConvNetsSheng Luo, Haojin Yang, Cheng Wang, Xiaoyin Che, Christoph Meinel. 529-537 [doi]
• An Architecture Design Method of Deep Convolutional Neural NetworkSatoshi Suzuki, Hayaru Shouno. 538-546 [doi]
• Investigation of the Efficiency of Unsupervised Learning for Multi-task Classification in Convolutional Neural NetworkJonghong Kim, Gil-Jin Jang, Minho Lee. 547-554 [doi]
• Sparse Auto-encoder with Smoothed l_1 RegularizationLi Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li. 555-563 [doi]
• Encoding Multi-resolution Two-Stream CNNs for Action RecognitionWeichen Xue, Haohua Zhao, Liqing Zhang. 564-571 [doi]
• Improving Neural Network Generalization by Combining Parallel Circuits with DropoutKien Tuong Phan, Tomás Henrique Maul, Tuong Thuy Vu, Weng-Kin Lai. 572-580 [doi]
• Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density NetworksSungphill Moon, Youngbin Park, Il Hong Suh. 581-590 [doi]
• Recurrent Neural Networks for Adaptive Feature AcquisitionGabriella Contardo, Ludovic Denoyer, Thierry Artières. 591-599 [doi]
• Stacked Robust Autoencoder for ClassificationJanki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand. 600-607 [doi]
• Pedestrian Detection Using Deep Channel Features in Monocular Image SequencesZhao Liu, Yang He, Yi Xie, Hongyan Gu, Chao Liu, Mingtao Pei. 608-615 [doi]
• Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark DetectionTakayuki Semitsu, Xiongxin Zhao, Wataru Matsumoto. 616-625 [doi]
• Fuzzy String Matching Using Sentence Embedding AlgorithmsYu Rong, Xiaolin Hu. 626-633 [doi]
• Initializing Deep Learning Based on Latent Dirichlet Allocation for Document ClassificationHyung Bae Jeon, Soo-Young Lee. 634-641 [doi]