| The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies,LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. -proceedings (published in time for the respective conference) -post-proceedings (consisting of thoroughly revised final full papers) -research monographs (which may be based on PhD work) |
| Editors' Introduction Invited Papers Invention and Artificial Intelligence The Arrowsmith Project: 2005 Status Report The Robot Scientist Project Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources Training Support Vector Machines via SMO-Type Decomposition Methods Kernel-Based Learning Regular Contributions Measuring Statistical Dependence with Hilbert-Schmidt Norms An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron Bayesian and Statistical Models Learning Causal Structures Based on Markov Equivalence Class Stochastic Complexity for Mixture of Exponential Families in Variational Bayes ACME: An Associative Classifier Based on Maximum Entropy Principle PAC-Learning Constructing Multiclass Learners from Binary Learners:A Simple Black-Box Analysis of the Generalization Errors On Computability of Pattern Recognition Problems PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance Learnability of Probabilistic Automata via Oracles Query-Learning Learning Attribute-Efficiently with Corrupt Oracles Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution Learning of Elementary Formal Systems with Two Clauses Using Queries Gold-Style and Query Learning Under Various Constraints on the Target Class Inductive Inference Non U-Shaped Vacillatory and Team Learning Learning Multiple Languages in Groups Language Learning Learning and Logic Learning from Expert Advice Online Learning Defensive Forecasting Teaching Author Index |
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