Abstract is missing.
- Editors IntroductionSanjay Jain, Hans-Ulrich Simon, Etsuji Tomita. 1-9 [doi]
- Invention and Artificial IntelligenceGary Bradshaw. 10 [doi]
- The Arrowsmith Project: 2005 Status ReportNeil R. Smalheiser. 11 [doi]
- The Robot Scientist ProjectRoss D. King. 12 [doi]
- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information SourcesDoina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar. 13-44 [doi]
- Training Support Vector Machines via SMO-Type Decomposition MethodsPai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin. 45-62 [doi]
- Measuring Statistical Dependence with Hilbert-Schmidt NormsArthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf. 63-77 [doi]
- An Analysis of the Anti-learning Phenomenon for the Class Symmetric PolyhedronAdam Kowalczyk, Olivier Chapelle. 78-91 [doi]
- Learning Causal Structures Based on Markov Equivalence ClassYang Bo He, Zhi Geng, Xun Liang. 92-106 [doi]
- Stochastic Complexity for Mixture of Exponential Families in Variational BayesKazuho Watanabe, Sumio Watanabe. 107-121 [doi]
- ACME: An Associative Classifier Based on Maximum Entropy PrincipleRisivardhan Thonangi, Vikram Pudi. 122-134 [doi]
- Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization ErrorsJittat Fakcharoenphol, Boonserm Kijsirikul. 135-147 [doi]
- On Computability of Pattern Recognition ProblemsDaniil Ryabko. 148-156 [doi]
- PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation DistanceNick Palmer, Paul W. Goldberg. 157-170 [doi]
- Learnability of Probabilistic Automata via OraclesOmri Guttman, S. V. N. Vishwanathan, Robert C. Williamson. 171-182 [doi]
- Learning Attribute-Efficiently with Corrupt OraclesRotem Bennet, Nader H. Bshouty. 183-197 [doi]
- Learning DNF by Statistical and Proper Distance Queries Under the Uniform DistributionWolfgang Lindner. 198-210 [doi]
- Learning of Elementary Formal Systems with Two Clauses Using QueriesHirotaka Kato, Satoshi Matsumoto, Tetsuhiro Miyahara. 211-225 [doi]
- Gold-Style and Query Learning Under Various Constraints on the Target ClassSanjay Jain, Steffen Lange, Sandra Zilles. 226-240 [doi]
- Non U-Shaped Vacillatory and Team LearningLorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan. 241-255 [doi]
- Learning Multiple Languages in GroupsSanjay Jain, Efim B. Kinber. 256-268 [doi]
- Inferring Unions of the Pattern Languages by the Most Fitting CoversYen Kaow Ng, Takeshi Shinohara. 269-282 [doi]
- Identification in the Limit of Substitutable Context-Free LanguagesAlexander Clark, Rémi Eyraud. 283-296 [doi]
- Algorithms for Learning Regular ExpressionsHenning Fernau. 297-311 [doi]
- A Class of Prolog Programs with Non-linear Outputs Inferable from Positive DataM. R. K. Krishna Rao. 312-326 [doi]
- Absolute Versus Probabilistic Classification in a Logical SettingSanjay Jain, Eric Martin, Frank Stephan. 327-342 [doi]
- Online Allocation with Risk InformationShigeaki Harada, Eiji Takimoto, Akira Maruoka. 343-355 [doi]
- Defensive Universal Learning with ExpertsJan Poland, Marcus Hutter. 356-370 [doi]
- On Following the Perturbed Leader in the Bandit SettingJussi Kujala, Tapio Elomaa. 371-385 [doi]
- Mixture of Vector ExpertsMatthew Henderson, John Shawe-Taylor, Janez Zerovnik. 386-398 [doi]
- On-line Learning with Delayed Label FeedbackChris Mesterharm. 399-413 [doi]
- Monotone Conditional Complexity Bounds on Future Prediction ErrorsAlexey V. Chernov, Marcus Hutter. 414-428 [doi]
- Non-asymptotic Calibration and ResolutionVladimir Vovk. 429-443 [doi]
- Defensive Prediction with Expert AdviceVladimir Vovk. 444-458 [doi]
- Defensive Forecasting for Linear ProtocolsVladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer. 459-473 [doi]
- Teaching Learners with Restricted Mind ChangesFrank J. Balbach, Thomas Zeugmann. 474-489 [doi]