A note on the use of probabilities by mechanical learners. - Eric Martin 002; Daniel N. Osherson (EuroCOLT, 1995)

Formal Learning Theory. - Daniel N. Osherson; Dick de Jongh; Eric Martin 002; Scott Weinstein (Handbook of Logic and Language, 1997)

Scientific Discovery Based on Belief Revision. - Eric Martin 002; Daniel N. Osherson (J. Symb. Log., 1997)

On Sufficient Conditions for Learnability of Logic Programs from Positive Data. - Eric Martin 002; Arun Sharma 001 (ILP, 1999)

Scientific Discovery on Positive Data via Belief Revision. - Eric Martin 002; Daniel N. Osherson (J. Philos. Log., 2000)

A General Theory of Deduction, Induction, and Learning. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Discovery Science, 2001)

Induction by Enumeration. - Eric Martin 002; Daniel N. Osherson (Inf. Comput., 2001)

Learning, Logic, and Topology in a Common Framework. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (ALT, 2002)

Foundations for a Formalism of Nearness. - Jane Brennan; Eric Martin 002 (Australian Joint Conference on Artificial Intelligence, 2002)

Learning in Logic with RichProlog. - Eric Martin 002; Phuong Minh Nguyen; Arun Sharma 001; Frank Stephan 001 (ICLP, 2002)

Generalized Logical Consequence: Making Room for Induction in the Logic of Science. - Samir Chopra; Eric Martin 002 (J. Philos. Log., 2002)

Learning power and language expressiveness. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Theor. Comput. Sci., 2003)

On the Convergence of Incremental Knowledge Base Construction.. - Tri M. Cao; Eric Martin 002; Paul Compton (Discovery Science, 2004)

Limiting Resolution: From Foundations to Implementation. - Patrick Caldon; Eric Martin 002 (ICLP, 2004)

On a Syntactic Characterization of Classification with a Mind Change Bound. - Eric Martin 002; Arun Sharma 001 (COLT, 2005)

Quantification over names and modalities. - Eric Martin 002 (Advances in Modal Logic, 2006)

Membership Functions for Spatial Proximity. - Jane Brennan; Eric Martin 002 (Australian Conference on Artificial Intelligence, 2006)

Identifying Clusters from Positive Data. - John Case; Sanjay Jain 001; Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (SIAM J. Comput., 2006)

Unifying logic, topology and learning in Parametric logic. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Theor. Comput. Sci., 2006)

On ordinal VC-dimension and some notions of complexity. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Theor. Comput. Sci., 2006)

Learning a Plan in the Limit. - Patrick Caldon; Eric Martin 002 (AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 2007)

On the data consumption benefits of accepting increased uncertainty. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Theor. Comput. Sci., 2007)

Deduction, Induction, and beyond in Parametric Logic. - Eric Martin 002; Arun Sharma 001; Frank Stephan 001 (Induction, Algorithmic Learning Theory, and Philosophy, 2007)

Learning from Each Other. - Christopher Dartnell; Eric Martin 002; Jean Sallantin (Discovery Science, 2008)

Human Discovery and Machine Learning. - Christopher Dartnell; Eric Martin 002; Hélène Hagège; Jean Sallantin (Int. J. Cogn. Informatics Nat. Intell., 2008)

Absolute versus probabilistic classification in a logical setting. - Sanjay Jain 001; Eric Martin 002; Frank Stephan 001 (Theor. Comput. Sci., 2008)

A Dialectic Approach to Problem-Solving. - Eric Martin 002; Jean Sallantin (Discovery Science, 2009)

Logic Programming Revisited from a Classical Standpoint - Eric Andre Martin (CoRR, 2009)

Input-Dependence in Function-Learning. - Sanjay Jain 001; Eric Martin 002; Frank Stephan 001 (Theory Comput. Syst., 2009)

Spatial proximity is more than just a distance measure. - Jane Brennan; Eric Martin 002 (Int. J. Hum. Comput. Stud., 2012)

Contextual hypotheses and semantics of logic programs. - Eric Martin 002 (Theory Pract. Log. Program., 2012)

Learning and classifying. - Sanjay Jain 001; Eric Martin 002; Frank Stephan 001 (Theor. Comput. Sci., 2013)

Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations. - Han Xu 010; Eric Martin 002; Ashesh Mahidadia (ICDM Workshops, 2014)

Topical establishment leveraging literature evolution. - Han Xu 010; Eric Martin 002; Ashesh Mahidadia (JCDL, 2014)

Robust learning of automatic classes of languages. - Sanjay Jain 001; Eric Martin 002; Frank Stephan 001 (J. Comput. Syst. Sci., 2014)

Contents and time sensitive document ranking of scientific literature. - Han Xu 010; Eric Martin 002; Ashesh Mahidadia (J. Informetrics, 2014)

Extractive Summarisation Based on Keyword Profile and Language Model. - Han Xu 010; Eric Martin 002; Ashesh Mahidadia (HLT-NAACL, 2015)

Logic programming as classical inference. - Eric Andre Martin (J. Appl. Log., 2015)

Implementing fragments of ZFC within an r.e. Universe. - Eric Martin 002; Frank Stephan 001 (J. Log. Comput., 2018)

Nonmonotonicity in the Framework of Parametric Logic. - Eric Martin 002 (Stud Logica, 2019)

Disjunctive logic programs, answer sets, and the cut rule. - Eric Martin 002 (Arch. Math. Log., 2022)

Learners based on transducers. - Sanjay Jain 001; Shao Ning Kuek; Eric Martin 002; Frank Stephan 001 (Inf. Comput., 2022)