Table of Contents

• Invention and Artificial IntelligenceGary Bradshaw. 1-13 [doi]
• Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information SourcesDoina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar. 14 [doi]
• Training Support Vector Machines via SMO-Type Decomposition MethodsPai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin. 15 [doi]
• The Robot Scientist ProjectRoss D. King, Michael Young, Amanda Clare, Kenneth Whelan, Jem J. Rowland. 16-25 [doi]
• The Arrowsmith Project: 2005 Status ReportNeil R. Smalheiser. 26-43 [doi]
• Practical Algorithms for Pattern Based Linear RegressionHideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda. 44-56 [doi]
• Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering ApproachIndra Budi, Stéphane Bressan, Gatot Wahyudi, Zainal A. Hasibuan, Bobby Nazief. 57-69 [doi]
• Bias Management of Bayesian Network ClassifiersGladys Castillo, João Gama. 70-83 [doi]
• A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic SpaceRichard J. Cole, Peter Bruza. 84-98 [doi]
• Assisting Scientific Discovery with an Adaptive Problem SolverChristopher Dartnell, Jean Sallantin. 99-112 [doi]
• Cross-Language Mining for Acronyms and Their Completions from the WebUdo Hahn, Philipp Daumke, Stefan Schulz, Kornél G. Markó. 113-123 [doi]
• Mining Frequent ::::delta::::-Free Patterns in Large DatabasesCéline Hébert, Bruno Crémilleux. 124-136 [doi]
• An Experiment with Association Rules and Classification: Post-Bagging and ConvictionAlípio Jorge, Paulo J. Azevedo. 137-149 [doi]
• Movement Analysis of Medaka (::::Oryzias Latipes::::) for an Insecticide Using Decision TreeSengtai Lee, Jeehoon Kim, Jae-Yeon Baek, Man-Wi Han, Chang Ji, Tae-Soo Chon. 150-162 [doi]
• Support Vector Inductive Logic ProgrammingStephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg. 163-175 [doi]
• Measuring Over-Generalization in the Minimal Multiple Generalizations of BiosequencesYen Kaow Ng, Hirotaka Ono, Takeshi Shinohara. 176-188 [doi]
• The ::::q::::-Gram Distance for Ordered Unlabeled TreesNobuhito Ohkura, Kouichi Hirata, Tetsuji Kuboyama, Masateru Harao. 189-202 [doi]
• Monotone Classification by Function DecompositionViara Popova, Jan C. Bioch. 203-214 [doi]
• Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer InterfacesShiliang Sun, Changshui Zhang. 215-226 [doi]
• An Algorithm for Mining Implicit Itemset Pairs Based on Differences of CorrelationsTsuyoshi Taniguchi, Makoto Haraguchi. 227-240 [doi]
• Pattern Classification via Single SpheresJigang Wang, Predrag Neskovic, Leon N. Cooper. 241-252 [doi]
• SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and ChaosTakashi Washio, Fuminori Adachi, Hiroshi Motoda. 253-266 [doi]
• Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology DomainTuangthong Wattarujeekrit, Nigel Collier. 267-280 [doi]
• Massive Biomedical Term DiscoveryJoachim Wermter, Udo Hahn. 281-293 [doi]
• Active Constrained Clustering by Examining Spectral EigenvectorsQianjun Xu, Marie desJardins, Kiri Wagstaff. 294-307 [doi]
• Learning Ontology-Aware ClassifiersJun Zhang 0002, Doina Caragea, Vasant Honavar. 308-321 [doi]
• Automatic Extraction of Proteins and Their Interactions from Biological TextKiho Hong, Junhyung Park, Jihoon Yang, Eunok Paek. 322-329 [doi]
• A Data Analysis Approach for Evaluating the Behavior of Interestingness MeasuresXuan-Hiep Huynh, Fabrice Guillet, Henri Briand. 330-337 [doi]
• Unit Volume Based Distributed Clustering Using Probabilistic Mixture ModelKeunjoon Lee, Jinu Joo, Jihoon Yang, Sungyong Park. 338-345 [doi]
• Finding Significant Web Pages with Lower Ranks by Pseudo-Clique SearchYoshiaki Okubo, Makoto Haraguchi, Bin Shi. 346-353 [doi]
• CLASSIC CL: An Integrated ILP SystemChristian Stolle, Andreas Karwath, Luc De Raedt. 354-362 [doi]
• Detecting and Revising Misclassifications Using ILPMasaki Yokoyama, Tohgoroh Matsui, Hayato Ohwada. 363-370 [doi]
• Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment PlantsHyeon Bae, Sungshin Kim, Yejin Kim, Changwon Kim. 371-373 [doi]
• A Semantic Enrichment of Data Tables Applied to Food Risk AssessmentHélène Gagliardi, Ollivier Haemmerlé, Nathalie Pernelle, Fatiha Saïs. 374-376 [doi]
• Knowledge Discovery Through Composited Visualization, Navigation and RetrievalWei-Ching Lim, Chien-Sing Lee. 377-379 [doi]
• A Tabu Clustering Method with DHB Operation and Mergence and Partition OperationYongguo Liu, Dong Zheng, Shiqun Li, Libin Wang, Kefei Chen. 380-382 [doi]
• Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine ResultsParthasarathy Ramachandran. 383-385 [doi]
• Network Boosting for BCI ApplicationsShijun Wang, Zhonglin Lin, Changshui Zhang. 386-388 [doi]
• Rule-Based FCM: A Relational Mapping ModelYing Yang, Tao-Shen Li, Jiajin Le. 389-391 [doi]
• Effective Classifier Pruning with Rule InformationXiaolong Zhang, Mingjian Luo, Daoying Pi. 392-395 [doi]
• Text Mining for Clinical Chinese Herbal Medical Knowledge DiscoveryXuezhong Zhou, Baoyan Liu, Zhaohui Wu. 396-398 [doi]