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PRICAI 2016: Trends in Artificial Intelligence

14th Pacific Rim International Conference on Artificial Intelligence, Phuket, Thailand, August 22-26, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Richard Booth

    1. Cardiff University, Cardiff, United Kingdom

  2. Min-Ling Zhang

    1. Southeast University , Nanjing, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9810)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PRICAI 2016.

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About this book

This book constitutes the refereed proceedings of the 14th Pacific Rim Conference on Artificial Intelligence, PRICAI 2016, held in Phuket, Thailand, in August 2016.

The 53 regular papers and 15 short papers presented in this volume were carefully reviewed and selected from 161 submissions. Pricai covers a wide range of topics such as AI foundations; applications of AI; semantic web; information retrieval; constraint satisfaction; multimodal interaction; knowledge representation; social networks; ad-hoc networks; algorithms; software architecture; machine learning; and smart modeling and simulation.

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Table of contents (68 papers)

  1. Front Matter

    Pages I-XXII
    Download chapter PDF

  2. PRICAI 2016 Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Study of Players’ Experiences During Brain Games Play

      • Faizan Ahmad, Yiqiang Chen, Shuangquan Wang, Zhenyu Chen, Jianfei Shen, Lisha Hu et al.
      Pages 3-15

    3. Faster Convergence to Cooperative Policy by Autonomous Detection of Interference States in Multiagent Reinforcement Learning

      • Sachiyo Arai, Haichi Xu
      Pages 16-29

    4. SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data

      • Molood Barati, Quan Bai, Qing Liu
      Pages 30-43

    5. Information Retrieval from Unstructured Arabic Legal Data

      • Imen Bouaziz Mezghanni, Faiez Gargouri
      Pages 44-54

    6. Generalized Extreme Value Filter to Remove Mixed Gaussian-Impulse Noise

      • Sakon Chankhachon, Sathit Intajag
      Pages 55-67

    7. Restricted Four-Valued Semantics for Answer Set Programming

      • Chen Chen, Zuoquan Lin
      Pages 68-79

    8. Combining RDR-Based Machine Learning Approach and Human Expert Knowledge for Phishing Prediction

      • Hyunsuk Chung, Renjie Chen, Soyeon Caren Han, Byeong Ho Kang
      Pages 80-92

    9. Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery

      • Kwankamon Dittakan, Frans Coenen
      Pages 93-105

    10. Thai Printed Character Recognition Using Long Short-Term Memory and Vertical Component Shifting

      • Taweesak Emsawas, Boonserm Kijsirikul
      Pages 106-115

    11. Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization

      • Tszhang Guo, Bowen Li, Zihao Fu, Tao Wan, Zengchang Qin
      Pages 116-124

    12. Prediction with Confidence in Item Based Collaborative Filtering

      • Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar
      Pages 125-138

    13. Multi-view Representative and Informative Induced Active Learning

      • Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu
      Pages 139-151

    14. Computing Probabilistic Assumption-Based Argumentation

      • Nguyen Duy Hung
      Pages 152-166

    15. Combining Swarm with Gradient Search for Maximum Margin Matrix Factorization

      • K. H. Salman, Arun K. Pujari, Vikas Kumar, Sowmini Devi Veeramachaneni
      Pages 167-179

    16. Incorporating an Implicit and Explicit Similarity Network for User-Level Sentiment Classification of Microblogging

      • Yongyos Kaewpitakkun, Kiyoaki Shirai
      Pages 180-192

    17. Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences

      • Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu
      Pages 193-205

    18. Learning from Numerous Untailored Summaries

      • Yuta Kikuchi, Akihiko Watanabe, Sasano Ryohei, Hiroya Takamura, Manabu Okumura
      Pages 206-219

    19. Selecting Training Data for Unsupervised Domain Adaptation in Word Sense Disambiguation

      • Kanako Komiya, Minoru Sasaki, Hiroyuki Shinnou, Yoshiyuki Kotani, Manabu Okumura
      Pages 220-232
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Other volumes

  1. Trends in Artificial Intelligence: PRICAI 2016 Workshops

  2. PRICAI 2016: Trends in Artificial Intelligence

Editors and Affiliations

  • Cardiff University, Cardiff, United Kingdom

    Richard Booth

  • Southeast University , Nanjing, China

    Min-Ling Zhang

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