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On the Interplay Between Inductive Inference of Recursive Functions, Complexity Theory and Recursive Numberings

Beyond the Horizon of Computability, 2020, Vol.12098, p.124-136

2020

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Algorithmic Learning Theory: 6th International Workshop,ALT '95 Fukuoka, Japan, October 18–20, 1995 Proceedings

1995

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Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings

1, 2001

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Mathematical Analysis and the Mathematics of Computation

1st ed. 2016., 2016

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Guest Editor's Foreword

Theoretical computer science, 2018-07, Vol.733, p.1-3

Zeugmann, Thomas

2018

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Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings

1, 2014

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Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings

1, 2011

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On the Expressive Power of Deep Architectures

Algorithmic Learning Theory, p.18-36

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On the amount of nonconstructivity in learning formal languages from text

Information and computation, 2021-12, Vol.281, p.104668, Article 104668

2021

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Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings

2010 edition, 2010

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Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings

1, 2013

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Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings

2009 edition, 2009

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On Upper-Confidence Bound Policies for Switching Bandit Problems

Algorithmic Learning Theory, p.174-188

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Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

2008 edition., 2008

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Learning recursive functions: A survey

Theoretical computer science, 2008-05, Vol.397 (1), p.4-56

2008

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Guest editors' foreword

Theoretical computer science, 2016-10, Vol.650, p.1-3

2016

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A Survey of Preference-Based Online Learning with Bandit Algorithms

Algorithmic Learning Theory, p.18-39

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Stochastic Algorithms: Foundations and Applications: 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings

2009 edition, 2009

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Testable and untestable classes of first-order formulae

Journal of computer and system sciences, 2012-09, Vol.78 (5), p.1557-1578

2012

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Learning indexed families of recursive languages from positive data: A survey

Theoretical computer science, 2008-05, Vol.397 (1), p.194-232

2008

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From learning in the limit to stochastic finite learning

Theoretical computer science, 2006-11, Vol.364 (1), p.77-97

Zeugmann, Thomas

2006

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Guest Editors' foreword

Theoretical computer science, 2016-03, Vol.620, p.1-3

2016

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Guest Editorsʼ introduction

Theoretical computer science, 2014-01, Vol.519, p.1-3

2014

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Guest Editorsʼ introduction

Theoretical computer science, 2014-01, Vol.519, p.1-3

2014

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Learning classes of approximations to non-recursive functions

Theoretical computer science, 2002-10, Vol.288 (2), p.309-341

2002

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On the Interplay Between Inductive Inference of Recursive Functions, Complexity Theory and Recursive Numberings

Algorithmic Learning Theory: 6th International Workshop,ALT '95 Fukuoka, Japan, October 18–20, 1995 Proceedings

Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings

Mathematical Analysis and the Mathematics of Computation

Guest Editor's Foreword

Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings

Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings

On the Expressive Power of Deep Architectures

On the amount of nonconstructivity in learning formal languages from text

Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings

Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings

Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings

On Upper-Confidence Bound Policies for Switching Bandit Problems

Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

Learning recursive functions: A survey

Guest editors' foreword

A Survey of Preference-Based Online Learning with Bandit Algorithms

Stochastic Algorithms: Foundations and Applications: 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings

Testable and untestable classes of first-order formulae

Learning indexed families of recursive languages from positive data: A survey

From learning in the limit to stochastic finite learning

Guest Editors' foreword

Guest Editorsʼ introduction

Guest Editorsʼ introduction

Learning classes of approximations to non-recursive functions

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