Robust learning—rich and poor

Author:

Case John,Jain Sanjay,Stephan Frank,Wiehagen Rolf

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference39 articles.

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2. Computational Learning Theory;Anthony,1992

3. J. Bārzdiņš, Inductive inference of automata, functions and programs, in: International Mathematics Congress, Vancouver, 1974, pp. 771–776.

4. J. Bārzdiņš, Two theorems on the limiting synthesis of functions, in: Theory of Algorithms and Programs, Latvian State University, Vol. 1, 1974, pp. 82–88 (in Russian).

5. Prediction and limiting synthesis of recursively enumerable classes of functions;Bārzdiņš;Latvijas Valsts Univ. Zimatm. Raksti,1974

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1. Robust Identification in the Limit from Incomplete Positive Data;Fundamentals of Computation Theory;2023

2. Connections Between Inductive Inference and Machine Learning;Encyclopedia of Machine Learning and Data Mining;2017

3. Connections Between Inductive Inference and Machine Learning;Encyclopedia of Machine Learning and Data Mining;2016

4. Learning Automatic Families of Languages;Lecture Notes in Computer Science;2016

5. Robust separations in inductive inference;The Journal of Symbolic Logic;2011-06

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