Analogical and inductive inference : [3rd] International Workshop AII '92, Dagstuhl Castle, Germany, October 5-9, 1992 : proceedings
This volume contains the text of the five invited papers and 16 selected contributions presented at the third International Workshop on Analogical and Inductive Inference, AII `92, held in Dagstuhl Castle, Germany, October 5-9, 1992. Like the two previous events, AII '92 was intended to bring t...
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| Auteur principal: | |
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| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science. Lecture notes in artificial intelligence
642 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Analogical and inductive inference, International Workshop AII '92, Dagstuhl Castle, Germany, October 1992, proceedings, K.P. Jantke, ed, Berlin, Springer-Verlag, 1992, 1 vol. (VIII-319 p.), Lecture notes in computer science, 0-387-56004-1 • Analogical and Inductive Inference, Texte imprimé, 9783662194102 |
Table des matières:
- Representing the spatial/kinematic domain and lattice computers
- A solution of the credit assignment problem in the case of learning rectangles
- Learning decision strategies with genetic algorithms
- Background knowledge and declarative bias in inductive concept learning
- Too much information can be too much for learning efficiently
- Some experiments with a learning procedure
- Unions of identifiable classes of total recursive functions
- Learning from multiple sources of inaccurate data
- Strong separation of learning classes
- Desiderata for generalization-to-N algorithms
- The power of probabilism in Popperian FINite learning
- An analysis of various forms of jumping to conclusions
- An inductive inference approach to classification
- Asking questions versus verifiability
- Predictive analogy and cognition
- Learning a class of regular expressions via restricted subset queries
- A unifying approach to monotonic language learning on informant
- Characterization of finite identification
- A model of the redescription process in the context of geometric proportional analogy problems
- Inductive strengthening: The effects of a simple heuristic for restricting hypothesis space search
- On identifying DNA splicing systems from examples.

