Eric Martin

According to our database, Eric Martin authored at least 42 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Learners based on transducers.

Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan

Inf. Comput., 2022

Disjunctive logic programs, answer sets, and the cut rule.

Eric Martin

Arch. Math. Log., 2022

2019

Nonmonotonicity in the Framework of Parametric Logic.

Eric Martin

Stud Logica, 2019

2018

Implementing fragments of ZFC within an r.e. Universe.

Eric Martin, Frank Stephan

J. Log. Comput., 2018

2015

Logic programming as classical inference.

Eric Andre Martin

J. Appl. Log., 2015

Extractive Summarisation Based on Keyword Profile and Language Model.

Han Xu, Eric Martin, Ashesh Mahidadia

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Contents and time sensitive document ranking of scientific literature.

Han Xu, Eric Martin, Ashesh Mahidadia

J. Informetrics, 2014

Robust learning of automatic classes of languages.

Sanjay Jain, Eric Martin, Frank Stephan

J. Comput. Syst. Sci., 2014

Topical establishment leveraging literature evolution.

Han Xu, Eric Martin, Ashesh Mahidadia

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations.

Han Xu, Eric Martin, Ashesh Mahidadia

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Learning and classifying.

Sanjay Jain, Eric Martin, Frank Stephan

Theor. Comput. Sci., 2013

2012

Contextual hypotheses and semantics of logic programs.

Eric Martin

Theory Pract. Log. Program., 2012

Spatial proximity is more than just a distance measure.

Jane Brennan, Eric Martin

Int. J. Hum. Comput. Stud., 2012

2009

Input-Dependence in Function-Learning.

Sanjay Jain, Eric Martin, Frank Stephan

Theory Comput. Syst., 2009

Logic Programming Revisited from a Classical Standpoint

Eric Andre Martin

CoRR, 2009

A Dialectic Approach to Problem-Solving.

Eric Martin, Jean Sallantin

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

Absolute versus probabilistic classification in a logical setting.

Sanjay Jain, Eric Martin, Frank Stephan

Theor. Comput. Sci., 2008

Human Discovery and Machine Learning.

Christopher Dartnell, Eric Martin, Hélène Hagège, Jean Sallantin

Int. J. Cogn. Informatics Nat. Intell., 2008

Learning from Each Other.

Christopher Dartnell, Eric Martin, Jean Sallantin

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Deduction, Induction, and beyond in Parametric Logic.

Eric Martin, Arun Sharma, Frank Stephan

Proceedings of the Induction, Algorithmic Learning Theory, and Philosophy, 2007

On the data consumption benefits of accepting increased uncertainty.

Eric Martin, Arun Sharma, Frank Stephan

Theor. Comput. Sci., 2007

Learning a Plan in the Limit.

Patrick Caldon, Eric Martin

Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

2006

On ordinal VC-dimension and some notions of complexity.

Eric Martin, Arun Sharma, Frank Stephan

Theor. Comput. Sci., 2006

Unifying logic, topology and learning in Parametric logic.

Eric Martin, Arun Sharma, Frank Stephan

Theor. Comput. Sci., 2006

Membership Functions for Spatial Proximity.

Jane Brennan, Eric Martin

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Quantification over names and modalities.

Eric Martin

Proceedings of the Advances in Modal Logic 6, 2006

2005

On a Syntactic Characterization of Classification with a Mind Change Bound.

Eric Martin, Arun Sharma

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004

Identifying Clusters from Positive Data

John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan

Electron. Colloquium Comput. Complex., 2004

Limiting Resolution: From Foundations to Implementation.

Patrick Caldon, Eric Martin

Proceedings of the Logic Programming, 20th International Conference, 2004

On the Convergence of Incremental Knowledge Base Construction..

Tri M. Cao, Eric Martin, Paul Compton

Proceedings of the Discovery Science, 7th International Conference, 2004

2003

Learning power and language expressiveness.

Eric Martin, Arun Sharma, Frank Stephan

Theor. Comput. Sci., 2003

2002

Generalized Logical Consequence: Making Room for Induction in the Logic of Science.

Samir Chopra, Eric Martin

J. Philos. Log., 2002

Learning in Logic with RichProlog.

Eric Martin, Phuong Minh Nguyen, Arun Sharma, Frank Stephan

Proceedings of the Logic Programming, 18th International Conference, 2002

Foundations for a Formalism of Nearness.

Jane Brennan, Eric Martin

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

Learning, Logic, and Topology in a Common Framework.

Eric Martin, Arun Sharma, Frank Stephan

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001

Induction by Enumeration.

Eric Martin, Daniel N. Osherson

Inf. Comput., 2001

A General Theory of Deduction, Induction, and Learning.

Eric Martin, Arun Sharma, Frank Stephan

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000

Scientific Discovery on Positive Data via Belief Revision.

Eric Martin, Daniel N. Osherson

J. Philos. Log., 2000

1999

On Sufficient Conditions for Learnability of Logic Programs from Positive Data.

Eric Martin, Arun Sharma

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1997

Scientific Discovery Based on Belief Revision.

Eric Martin, Daniel N. Osherson

J. Symb. Log., 1997

Formal Learning Theory.

Daniel N. Osherson, Dick de Jongh, Eric Martin, Scott Weinstein

Proceedings of the Handbook of Logic and Language., 1997

1995

A note on the use of probabilities by mechanical learners.

Eric Martin, Daniel N. Osherson

Proceedings of the Computational Learning Theory, Second European Conference, 1995