Intelligent Computing Methodologies

1. Front Matter

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2. Soft Computing

   1. Affective Tutoring System for Android Mobiles

      • Ramón Zatarain-Cabada, M. L. Barrón-Estrada, José Luis Olivares Camacho, Carlos A. Reyes-García

      Pages 1-10

   2. Solving Three-Objective Flow Shop Problem with Fast Hypervolume-Based Local Search Algorithm

      • Rong-Qiang Zeng, Ming-Sheng Shang

      Pages 11-25

3. Artificial Bee Colony Algorithms

   1. A Learning Automata-Based Singular Value Decomposition and Its Application in Recommendation System

      • Yuchun Jing, Wen Jiang, Guiyang Su, Zhisheng Zhou, Yifan Wang

      Pages 26-32

   2. A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection

      • Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen

      Pages 33-43

   3. Improved Bayesian Network Structure Learning with Node Ordering via K2 Algorithm

      • Zhongqiang Wei, Hongzhe Xu, Wen Li, Xiaolin Gui, Xiaozhou Wu

      Pages 44-55

   4. Combining Multi Classifiers Based on a Genetic Algorithm – A Gaussian Mixture Model Framework

      • Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen

      Pages 56-67

4. Unsupervised Learning

   1. A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes

      • Ziyi Chen, Jinwen Ma, Yatong Zhou

      Pages 68-75

   2. Comparison of EM-Based Algorithms and Image Segmentation Evaluation

      • Mei Niu, Qinpei Zhao, Hongyu Li

      Pages 76-86

   3. Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability

      • Davood Kalhor, Chu Kiong Loo

      Pages 87-98

5. Kernel Methods and Supporting Vector Machines

   1. The Equivalence Relationship between Kernel Functions Based on SVM and Four-Layer Functional Networks

      • Yongquan Zhou, Qifang Luo, Mingzhi Ma, Liangliang Li

      Pages 99-106

   2. Multiple Kernel Learning Based on Cooperative Clustering

      • Haiyang Du, Chuanhuan Yin, Shaomin Mu

      Pages 107-117

6. Machine Learning

   1. Automatic Non-negative Matrix Factorization Clustering with Competitive Sparseness Constraints

      • Chenglin Liu, Jinwen Ma

      Pages 118-125

   2. Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets

      • KunHong Liu, MuChenxuan Tong, ShuTong Xie, ZhiHao Zeng

      Pages 126-134

   3. A Study of Data Classification and Selection Techniques for Medical Decision Support Systems

      • Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir J. Hussain, David Lamb, Mohammed Al-Jumaily, Khaled Abdel-Aziz

      Pages 135-143

   4. A Reduction SVM Classification Algorithm Based on Adaptive AP Clustering Granulation

      • Xiuxi Wei

      Pages 144-153

   5. Learning Automata Based Cooperative Student-Team in Tutorial-Like System

      • Yifan Wang, Wen Jiang, Yinghua Ma, Hao Ge, Yuchun Jing

      Pages 154-161

   6. Clustering-Based Latent Variable Models for Monocular Non-rigid 3D Shape Recovery

      • Quan Wang, Fei Wang, Daming Li, Xuan Wang

      Pages 162-172

   7. Comments-Attached Chinese Microblog Sentiment Classification Based on Machine Learning Technology

      • Bo Yan, Bin Zhang, Hongyi Su, Hong Zheng

      Pages 173-184

   8. Evaluation of Resonance in Staff Selection through Multimedia Contents

      • Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone et al.

      Pages 185-198

This book – in conjunction with the volumes LNCS 8588 and LNBI 8590 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 85 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as soft computing; artificial bee colony algorithms; unsupervised learning; kernel methods and supporting vector machines; machine learning; fuzzy theory and algorithms; image processing; intelligent computing in computer vision; intelligent computing in communication networks; intelligent image/document retrievals; intelligent data analysis and prediction; intelligent agent and Web applications; intelligent fault diagnosis; knowledge representation/reasoning; knowledge discovery and data mining; natural language processing and computational linguistics; next gen sequencing and metagenomics; intelligent computing in scheduling and engineering optimization; advanced modeling, control and optimization techniques for complex engineering systems; complex networks and their applications; time series forecasting and analysis using artificial neural networks; computer human interaction using multiple visual cues and intelligent computing; biometric system and security for intelligent computing.

• Web crawling
• authentication
• bayesian network
• biometrics
• cloud computing
• cluster and classification
• computer vision
• data mining
• ensemble method
• hidden markov model
• image processing
• image segmentation
• objection recognition
• supervised learning
• support vector machine
• algorithm analysis and problem complexity

• School of Electronics and Information Engineering, Tongji University, Shanghai, China

  De-Shuang Huang

• School of Electrical Engineering, University of Ulsan, Ulsan, Korea

  Kang-Hyun Jo

• Department of Automation, Tsinghua University, Bejing, China

  Ling Wang

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