Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
scientific article; zbMATH DE number 784360 - MaRDI portal

scientific article; zbMATH DE number 784360

From MaRDI portal

zbMath0830.68027MaRDI QIDQ4843403

Sašo Džeroski, Nada Lavrač

Publication date: 13 August 1995


Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items

Iterative versionspaces, Description and classification of complex structured objects by applying similarity measures, Consensus-based modeling using distributed feature construction with ILP, Microeconomic Model Based on MAS Framework: Modeling an Adaptive Producer, Extending the multi-criteria decision making method DEX with numeric attributes, value distributions and relational models, Collaborative vs. Conflicting Learning, Evolution and Argumentation, Counting for satisfiability by inverting resolution, Outlier detection using default reasoning, Parsimony hierarchies for inductive inference, From learning in the limit to stochastic finite learning, Learning a subclass of regular patterns in polynomial time, The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction, A defeasible reasoning model of inductive concept learning from examples and communication, Inductive constraint logic, Learning Distributional Programs for Relational Autocompletion, Similarity measures over refinement graphs, Propositionalization and embeddings: two sides of the same coin, Reference classes and relational learning, Unnamed Item, Fast learning of relational kernels, A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases, E-generalization using grammars, Predictive learning via rule ensembles, Symbolic knowledge extraction from trained neural networks: A sound approach, Learning logic programs with structured background knowledge, Synthesizing learners tolerating computable noisy data, Probabilistic Inductive Logic Programming, Learning Declarative Bias, Integrating induction and abduction in logic programming, Unnamed Item, Any-world assumptions in logic programming, Speeding up operations on feature terms using constraint programming and variable symmetry, The synthesis of language learners., Mind change complexity of learning logic programs, Data-Driven Revision of Conditional Norms in Multi-Agent Systems