Abstract is missing.
- Abduction and the Dualization ProblemThomas Eiter. 1-2 [doi]
- Signal Extraction and Knowledge Discovery Based on Statistical ModelingGenshiro Kitagawa. 3-14 [doi]
- Association Computation for Information AccessAkihiko Takano. 15 [doi]
- Efficient Data Representations That Preserve InformationNaftali Tishby. 16 [doi]
- Can Learning in the Limit Be Done Efficiently?Thomas Zeugmann. 17-38 [doi]
- Intrinsic Complexity of Uniform LearningSandra Zilles. 39-53 [doi]
- On Ordinal VC-Dimension and Some Notions of ComplexityEric Martin, Arun Sharma, Frank Stephan. 54-68 [doi]
- Learning of Erasing Primitive Formal Systems from Positive ExamplesJin Uemura, Masako Sato. 69-83 [doi]
- Changing the Inference Type - Keeping the Hypothesis SpaceFrank J. Balbach. 84-98 [doi]
- Robust Inference of Relevant AttributesJan Arpe, Rüdiger Reischuk. 99-113 [doi]
- Efficient Learning of Ordered and Unordered Tree Patterns with Contractible VariablesYusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida, Tetsuhiro Miyahara. 114-128 [doi]
- On the Learnability of Erasing Pattern Languages in the Query ModelSteffen Lange, Sandra Zilles. 129-143 [doi]
- Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from QueriesSatoshi Matsumoto, Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida. 144-158 [doi]
- Kernel Trick Embedded Gaussian Mixture ModelJingdong Wang, Jianguo Lee, Changshui Zhang. 159-174 [doi]
- Efficiently Learning the Metric with Side-InformationTijl De Bie, Michinari Momma, Nello Cristianini. 175-189 [doi]
- Learning Continuous Latent Variable Models with Bregman DivergencesShaojun Wang, Dale Schuurmans. 190-204 [doi]
- A Stochastic Gradient Descent Algorithm for Structural Risk MinimisationJoel Ratsaby. 205-220 [doi]
- On the Complexity of Training a Single Perceptron with Programmable Synaptic DelaysJirí Síma. 221-233 [doi]
- Learning a Subclass of Regular Patterns in Polynomial TimeJohn Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann. 234-246 [doi]
- Identification with Probability One of Stochastic Deterministic Linear LanguagesColin de la Higuera, José Oncina. 247-258 [doi]
- Criterion of Calibration for Transductive Confidence Machine with Limited FeedbackIlia Nouretdinov, Vladimir Vovk. 259-267 [doi]
- Well-Calibrated Predictions from Online Compression ModelsVladimir Vovk. 268-282 [doi]
- Transductive Confidence Machine Is UniversalIlia Nouretdinov, Vladimir V. V yugin, Alexander Gammerman. 283-297 [doi]
- On the Existence and Convergence of Computable Universal PriorsMarcus Hutter. 298-312 [doi]