Systems that learn: an introduction to learning theory for cognitive and computer scientists
Systems that learn: an introduction to learning theory for cognitive and computer scientists
Polynomial-time inference of arbitrary pattern languages
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
On the power of inductive inference from good examples
Theoretical Computer Science
Rich classes inferable from positive data
Information and Computation
Characterizations of monotonic and dual monotonic language learning
Information and Computation
Characteristic Sets for Polynomial Grammatical Inference
Machine Learning
An average-case optimal one-variable pattern language learner
Journal of Computer and System Sciences - Eleventh annual conference on computational learning theory&slash;Twelfth Annual IEEE conference on computational complexity
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning recursive languages from good examples
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence
Stochastic Finite Learning of the Pattern Languages
Machine Learning
Algorithmic Learning for Knowledge-Based Systems, GOSLER Final Report
Algorithmic Learning for Knowledge-Based Systems, GOSLER Final Report
A Guided Tour Across the Boundaries of Learning Recursive Languages
Algorithmic Learning for Knowledge-Based Systems, GOSLER Final Report
Towards High Speed Grammar Induction on Large Text Corpora
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Polynomial-time identification of very simple grammars from positive data
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Formal languages and their relation to automata
Formal languages and their relation to automata
Identification in the limit of substitutable context-free languages
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
A Note on the Relationship between Different Types of Correction Queries
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Necessary and sufficient conditions for learning with correction queries
Theoretical Computer Science
A characterization of the language classes learnable with correction queries
TAMC'07 Proceedings of the 4th international conference on Theory and applications of models of computation
Hi-index | 0.00 |
The present paper is a short reflection concerning the role which inductive inference played and can play in language learning. We shortly recall some major insights obtained and outline some new directions based on own work and results recently presented in the literature.