Eric Martin

49 papers A* 1B 14C 2Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2022 J jnl
Disjunctive logic programs, answer sets, and the cut rule.
Arch. Math. Log.
Eric Martin
2022 J jnl
Learners based on transducers.
Inf. Comput.
Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan
2019 J jnl
Nonmonotonicity in the Framework of Parametric Logic.
Stud Logica
Eric Martin
2018 J jnl
Implementing fragments of ZFC within an r.e. Universe.
J. Log. Comput.
Eric Martin, Frank Stephan
2018 C conf
Learners Based on Transducers.
LATA
Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan
2015 — conf
Extractive Summarisation Based on Keyword Profile and Language Model.
HLT-NAACL
Han Xu, Eric Martin, Ashesh Mahidadia
2014 J jnl
Contents and time sensitive document ranking of scientific literature.
J. Informetrics
Han Xu, Eric Martin, Ashesh Mahidadia
2014 — conf
Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations.
ICDM Workshops
Han Xu, Eric Martin, Ashesh Mahidadia
2014 J jnl
Robust learning of automatic classes of languages.
J. Comput. Syst. Sci.
Sanjay Jain, Eric Martin, Frank Stephan
2014 — conf
Topical establishment leveraging literature evolution.
JCDL
Han Xu, Eric Martin, Ashesh Mahidadia
2013 J jnl
Learning and classifying.
Theor. Comput. Sci.
Sanjay Jain, Eric Martin, Frank Stephan
2012 J jnl
Contextual hypotheses and semantics of logic programs.
Theory Pract. Log. Program.
Eric Martin
2012 J jnl
Spatial proximity is more than just a distance measure.
Int. J. Hum. Comput. Stud.
Jane Brennan, Eric Martin
2011 B conf
Learning and Classifying.
ALT
Sanjay Jain, Eric Martin, Frank Stephan
2011 B conf
Robust Learning of Automatic Classes of Languages.
ALT
Sanjay Jain, Eric Martin, Frank Stephan
2009 B conf
A Dialectic Approach to Problem-Solving.
Discovery Science
Eric Martin, Jean Sallantin
2009 J jnl
Input-Dependence in Function-Learning.
Theory Comput. Syst.
Sanjay Jain, Eric Martin, Frank Stephan
2008 J jnl
Absolute versus probabilistic classification in a logical setting.
Theor. Comput. Sci.
Sanjay Jain, Eric Martin, Frank Stephan
2008 J jnl
Human Discovery and Machine Learning.
Int. J. Cogn. Informatics Nat. Intell.
Christopher Dartnell, Eric Martin, Hélène Hagège, Jean Sallantin
2008 B conf
Learning from Each Other.
Discovery Science
Christopher Dartnell, Eric Martin, Jean Sallantin
2007 — ch.
Deduction, Induction, and beyond in Parametric Logic.
Induction, Algorithmic Learning Theory, and Philosophy
Eric Martin, Arun Sharma, Frank Stephan
2007 C conf
Input-Dependence in Function-Learning.
CiE
Sanjay Jain, Eric Martin, Frank Stephan
2007 — conf
Learning a Plan in the Limit.
AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning
Patrick Caldon, Eric Martin
2007 J jnl
On the data consumption benefits of accepting increased uncertainty.
Theor. Comput. Sci.
Eric Martin, Arun Sharma, Frank Stephan
2006 J jnl
Identifying Clusters from Positive Data.
SIAM J. Comput.
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
2006 — conf
Membership Functions for Spatial Proximity.
Australian Conference on Artificial Intelligence
Jane Brennan, Eric Martin
2006 J jnl
On ordinal VC-dimension and some notions of complexity.
Theor. Comput. Sci.
Eric Martin, Arun Sharma, Frank Stephan
2006 B conf
Quantification over names and modalities.
Advances in Modal Logic
Eric Martin
2006 J jnl
Unifying logic, topology and learning in Parametric logic.
Theor. Comput. Sci.
Eric Martin, Arun Sharma, Frank Stephan
2005 B conf
Absolute Versus Probabilistic Classification in a Logical Setting.
ALT
Sanjay Jain, Eric Martin, Frank Stephan
2005 A* conf
On a Syntactic Characterization of Classification with a Mind Change Bound.
COLT
Eric Martin, Arun Sharma
2004 J jnl
Identifying Clusters from Positive Data
Electron. Colloquium Comput. Complex.
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
2004 — conf
Identifying Clusters from Positive Data.
ICGI
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
2004 B conf
Limiting Resolution: From Foundations to Implementation.
ICLP
Patrick Caldon, Eric Martin
2004 B conf
On the Convergence of Incremental Knowledge Base Construction..
Discovery Science
Tri M. Cao, Eric Martin, Paul Compton
2004 B conf
On the Data Consumption Benefits of Accepting Increased Uncertainty.
ALT
Eric Martin, Arun Sharma, Frank Stephan
2003 J jnl
Learning power and language expressiveness.
Theor. Comput. Sci.
Eric Martin, Arun Sharma, Frank Stephan
2003 B conf
On Ordinal VC-Dimension and Some Notions of Complexity.
ALT
Eric Martin, Arun Sharma, Frank Stephan
2002 — conf
Foundations for a Formalism of Nearness.
Australian Joint Conference on Artificial Intelligence
Jane Brennan, Eric Martin
2002 J jnl
Generalized Logical Consequence: Making Room for Induction in the Logic of Science.
J. Philos. Log.
Samir Chopra, Eric Martin
2002 B conf
Learning in Logic with RichProlog.
ICLP
Eric Martin, Phuong Nguyen, Arun Sharma, Frank Stephan
2002 B conf
Learning, Logic, and Topology in a Common Framework.
ALT
Eric Martin, Arun Sharma, Frank Stephan
2001 B conf
A General Theory of Deduction, Induction, and Learning.
Discovery Science
Eric Martin, Arun Sharma, Frank Stephan
2001 J jnl
Induction by Enumeration.
Inf. Comput.
Eric Martin, Daniel N. Osherson
2000 J jnl
Scientific Discovery on Positive Data via Belief Revision.
J. Philos. Log.
Eric Martin, Daniel N. Osherson
1999 B conf
On Sufficient Conditions for Learnability of Logic Programs from Positive Data.
ILP
Eric Martin, Arun Sharma
1997 — ch.
Formal Learning Theory.
Handbook of Logic and Language
Daniel N. Osherson, Dick de Jongh, Eric Martin, Scott Weinstein
1997 J jnl
Scientific Discovery Based on Belief Revision.
J. Symb. Log.
Eric Martin, Daniel N. Osherson
1995 — conf
A note on the use of probabilities by mechanical learners.
EuroCOLT
Eric Martin, Daniel N. Osherson