PKAW 2010: Daegue, Korea

Machine Learning

• Tetsuya Yoshida, Kazuhiro Okatani:
  A Graph-Based Projection Approach for Semi-supervised Clustering. 1-13
  
• Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito:
  Self-organisation in an Agent Network via Multiagent Q-Learning. 14-26
  
• Alejandro Rodríguez González, Fernando Guldrís-Iglesias, Ricardo Colomo Palacios, Juan Miguel Gómez Berbís, Enrique Jiménez-Domingo, Giner Alor-Hernández, Rubén Posada-Gómez, Guillermo Cortes Robles:
  Improving Trading Systems Using the RSI Financial Indicator and Neural Networks. 27-37
  
• Wenbin Zhu, Hu Qin, Andrew Lim, Zhou Xu:
  Balanced Student Partitioning to Promote Effective Learning: Applications in an International School. 38-48
  

Data Mining

• Megumi Masuda, Shohei Kato, Hidenori Itoh:
  Laban-Based Motion Rendering for Emotional Expression of Human Form Robots. 49-60
  
• Nguyen Minh The, Takahiro Kawamura, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga:
  Self-supervised Mining of Human Activity from CGM. 61-72
  
• Shuxiang Xu:
  Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons. 73-81
  
• Sung Ho Ha, Eun Kyoung Kwon:
  Business Intelligence for Delinquency Risk Management via Cox Regression. 82-90
  

Knowledge Engineering & Ontology

• Mihye Kim, Sook-Young Choi:
  An Ontology-Based Adaptive Learning System to Enhance Self-directed Learning. 91-102
  
• Giovanni Cagalaban, Seoksoo Kim:
  Context-Aware Service Framework for Decision-Support Applications Using Ontology-Based Modeling. 103-110
  
• Siti Hajar Othman, Ghassan Beydoun:
  A Disaster Management Metamodel (DMM) Validated. 111-125
  
• Sang-Rak Kim, Jae-Gun Yang, Jae-Hak J. Bae:
  Another Investigation of an Interontologia between Chinese Lexical Systems and Roget's Thesaurus. 126-134
  

Incremental Knowledge Acquisition

• Angela Finlayson, Paul Compton:
  Incremental Knowledge Acquisition Using Generalised RDR for Soccer Simulation. 135-149
  
• Avishkar Misra, Arcot Sowmya, Paul Compton:
  Incremental System Engineering Using Process Networks. 150-164
  
• Han Xu, Achim G. Hoffmann:
  RDRCE: Combining Machine Learning and Knowledge Acquisition. 165-179
  
• Ivan Bindoff, Byeong Ho Kang:
  Simulated Assessment of Ripple Round Rules. 180-194
  
• Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew:
  The Ballarat Incremental Knowledge Engine. 195-207
  

KA Applications in Internet and Mobile Computing

• Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara:
  Finding Relation between PageRank and Voter Model. 208-222
  
• Tae-min Jung, Youngseol Lee, Sung-Bae Cho:
  Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network. 223-234
  
• Richard Dazeley, John Yearwood, Byeong Ho Kang, Andrei Kelarev:
  Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security. 235-246
  
• Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Mike Bain, Alfred Krzywicki, Wayne Wobcke:
  People Recommendation Based on Aggregated Bidirectional Intentions in Social Network Site. 247-260
  
• Maria R. Lee, Tsung Teng Chen:
  Visualising Intellectual Structure of Ubiquitous Computing. 261-272
  
• Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura:
  Acquiring Expected Influence Curve from Single Diffusion Sequence. 273-287
  

KA Applications in Multimedia and Games

• Phuoc Nguyen, Dat Tran, Xu Huang, Dharmendra Sharma:
  Automatic Speech-Based Classification of Gender, Age and Accent. 288-299
  
• Umer Fareed, Byoung-Tak Zhang:
  MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. 300-309
  
• Narissa Onkhum, Juggapong Natwichai:
  Efficient Bulk-Insertion for Content-Based Video Indexing. 310-321
  

Last update Fri May 25 08:32:21 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page