Table of Contents

• Mathematics Based on LearningSusumu Hayashi. 1 [doi]
• Data Mining with Graphical ModelsRudolf Kruse, Christian Borgelt. 2-11 [doi]
• On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator EigenspectrumJohn Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola. 12 [doi]
• In Search of the Horowitz Factor: Interim Report on a Musical Discovery ProjectGerhard Widmer. 13-21 [doi]
• Learning Structure from Sequences, with Applications in a Digital LibraryIan H. Witten. 33 [doi]
• Discovering Frequent Structured Patterns from String Databases: An Application to Biological SequencesLuigi Palopoli, Giorgio Terracina. 34-46 [doi]
• Discovery in Hydrating Plaster Using Machine Learning MethodsJudith Ellen Devaney, John G. Hagedorn. 47-58 [doi]
• Revising Qualitative Models of Gene RegulationKazumi Saito, Stephen D. Bay, Pat Langley. 59-70 [doi]
• SEuS: Structure Extraction Using SummariesShayan Ghazizadeh, Sudarshan S. Chawathe. 71-85 [doi]
• Discovering Best Variable-Length-Don t-Care PatternsShunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa. 86-97 [doi]
• A Study on the Effect of Class Distribution Using Cost-Sensitive LearningKai Ming Ting. 98-112 [doi]
• Model Complexity and Algorithm Selection in ClassificationMelanie Hilario. 113-126 [doi]
• Experiments with Projection LearningTapio Elomaa, Jussi T. Lindgren. 127-140 [doi]
• Improved Dataset Characterisation for Meta-learningYonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil. 141-152 [doi]
• Racing Committees for Large DatasetsEibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall. 153-164 [doi]
• From Ensemble Methods to Comprehensible ModelsCésar Ferri, José Hernández-Orallo, M. José Ramírez-Quintana. 165-177 [doi]
• Learning the Causal Structure of Overlapping Variable SetsDavid Danks. 178-191 [doi]
• Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural NetworksMartin Holena. 192-205 [doi]
• Structuring Neural Networks through Bidirectional Clustering of WeightsKazumi Saito, Ryohei Nakano. 206-219 [doi]
• Toward Drawing an Atlas of Hypothesis Classes: Approximating a Hypothesis via Another Hypothesis ModelOsamu Maruyama, Takayoshi Shoudai, Satoru Miyano. 220-232 [doi]
• Datascape Survey Using the Cascade ModelTakashi Okada. 233-246 [doi]
• Learning Hierarchical Skills from ObservationRyutaro Ichise, Daniel G. Shapiro, Pat Langley. 247-258 [doi]
• Image Analysis for Detecting Faulty Spots from Microarray ImagesSalla Ruosaari, Jaakko Hollmén. 259-266 [doi]
• Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential EquationsMichiel J. L. de Hoon, Seiya Imoto, Satoru Miyano. 267-274 [doi]
• DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping AlgorithmDaniele Masotti. 275-282 [doi]
• Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal ClusteringAsanobu Kitamoto. 283-290 [doi]
• Structure-Sweetness Relationships of Aspartame Derivatives by GUHAJaroslava Halova, Premysl Zak, Pavel Stopka, Tomoaki Yuzuri, Yukino Abe, Kazuhisa Sakakibara, Hiroko Suezawa, Minoru Hirota. 291-296 [doi]
• A Hybrid Approach for Chinese Named Entity RecognitionXiaoshan Fang, Huanye Sheng. 297-301 [doi]
• Extraction of Word Senses from Human Factors in Knowledge DiscoveryYoo-Jin Moon, Minkoo Kim, Youngho Hwang, PanKoo Kim, Kijoon Choi. 302-309 [doi]
• Event Pattern Discovery from the Stock Market BulletinFang Li, Huanye Sheng, Dongmo Zhang. 310-315 [doi]
• Email Categorization Using Fast Machine Learning AlgorithmsJihoon Yang, Sung-Yong Park. 316-323 [doi]
• Discovery of Maximal Analogies between StoriesMakoto Haraguchi, Shigetora Nakano, Masaharu Yoshioka. 324-331 [doi]
• Automatic Wrapper Generation for Multilingual Web ResourcesYasuhiro Yamada, Daisuke Ikeda, Sachio Hirokawa. 332-339 [doi]
• Combining Multiple K-Nearest Neighbor Classifiers for Text Classification by ReductsYongguang Bao, Naohiro Ishii. 340-347 [doi]
• ARISTA Causal Knowledge Discovery from TextsJohn Kontos, Areti Elmaoglou, Ioanna Malagardi. 348-355 [doi]
• Knowledge Discovery as Applied to Music: Will Music Web Retrieval Revolutionize Musicology?Francis Rousseaux, Alain Bonardi. 356-363 [doi]
• Process Mining: Discovering Direct Successors in Process LogsLaura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch. 364-373 [doi]
• The Emergence of Artificial Creole by the EM AlgorithmMakoto Nakamura, Satoshi Tojo. 374-381 [doi]
• Generalized Musical Pattern Discovery by Analogy from Local ViewpointsOlivier Lartillot. 382-389 [doi]
• Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational StudyZhiwei Fu. 390-397 [doi]
• Handling Feature Ambiguity in Knowledge Discovery from Time SeriesFrank Höppner. 398-405 [doi]
• A Compositional Framework for Mining Longest RangesHaiyan Zhao, Zhenjiang Hu, Masato Takeichi. 406-413 [doi]
• Post-processing Operators for Browsing Large Sets of Association RulesAlípio Jorge, João Poças, Paulo J. Azevedo. 414-421 [doi]
• Mining Patterns from Structured Data by Beam-Wise Graph-Based InductionTakashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio. 422-429 [doi]
• Feature Selection for PropositionalizationMark-A. Krogel, Stefan Wrobel. 430-434 [doi]
• Subspace Clustering Based on CompressibilityMasaki Narahashi, Einoshin Suzuki. 435-440 [doi]
• The Extra-Theoretical Dimension of Discovery. Extracting Knowledge by AbductionLorenzo Magnani, Matteo Piazza, Riccardo Dossena. 441-448 [doi]
• Discovery Process on the WWW: Analysis Based on a Theory of Scientific DiscoveryHitomi Saito, Kazuhisa Miwa. 449-456 [doi]
• Invention vs. DiscoveryCarlotta Piscopo, Mauro Birattari. 457-462 [doi]