Eric Martin

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 4

Top Topics

Top Venues

J. Comput. Syst. Sci.

J. Log. Comput.

Arch. Math. Log.

Publications

Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan
Learners based on transducers. Inf. Comput. 283 (2022)
Eric Martin
Disjunctive logic programs, answer sets, and the cut rule. Arch. Math. Log. 61 (7-8) (2022)
Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan
Learners Based on Transducers. LATA (2018)
Eric Martin, Frank Stephan
Implementing fragments of ZFC within an r.e. Universe. J. Log. Comput. 28 (1) (2018)
Sanjay Jain, Eric Martin, Frank Stephan
Robust learning of automatic classes of languages. J. Comput. Syst. Sci. 80 (4) (2014)
Sanjay Jain, Eric Martin, Frank Stephan
Learning and classifying. Theor. Comput. Sci. 482 (2013)
Jane Brennan, Eric Martin
Spatial proximity is more than just a distance measure. Int. J. Hum. Comput. Stud. 70 (1) (2012)
Eric Martin
Contextual hypotheses and semantics of logic programs. Theory Pract. Log. Program. 12 (6) (2012)
Sanjay Jain, Eric Martin, Frank Stephan
Learning and Classifying. ALT (2011)
Sanjay Jain, Eric Martin, Frank Stephan
Robust Learning of Automatic Classes of Languages. ALT (2011)
Sanjay Jain, Eric Martin, Frank Stephan
Input-Dependence in Function-Learning. Theory Comput. Syst. 45 (4) (2009)
Eric Martin, Jean Sallantin
A Dialectic Approach to Problem-Solving. Discovery Science (2009)
Christopher Dartnell, Eric Martin, Hélène Hagège, Jean Sallantin
Human Discovery and Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 2 (4) (2008)
Christopher Dartnell, Eric Martin, Jean Sallantin
Learning from Each Other. Discovery Science (2008)
Sanjay Jain, Eric Martin, Frank Stephan
Absolute versus probabilistic classification in a logical setting. Theor. Comput. Sci. 397 (1-3) (2008)
Patrick Caldon, Eric Martin
Learning a Plan in the Limit. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning (2007)
Sanjay Jain, Eric Martin, Frank Stephan
Input-Dependence in Function-Learning. CiE (2007)
Eric Martin, Arun Sharma, Frank Stephan
On the data consumption benefits of accepting increased uncertainty. Theor. Comput. Sci. 382 (3) (2007)
Eric Martin, Arun Sharma, Frank Stephan
Unifying logic, topology and learning in Parametric logic. Theor. Comput. Sci. 350 (1) (2006)
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
Identifying Clusters from Positive Data. SIAM J. Comput. 36 (1) (2006)
Eric Martin, Arun Sharma, Frank Stephan
On ordinal VC-dimension and some notions of complexity. Theor. Comput. Sci. 364 (1) (2006)
Eric Martin
Quantification over names and modalities. Advances in Modal Logic (2006)
Jane Brennan, Eric Martin
Membership Functions for Spatial Proximity. Australian Conference on Artificial Intelligence (2006)
Sanjay Jain, Eric Martin, Frank Stephan
Absolute Versus Probabilistic Classification in a Logical Setting. ALT (2005)
Eric Martin, Arun Sharma
On a Syntactic Characterization of Classification with a Mind Change Bound. COLT (2005)
Eric Martin, Arun Sharma, Frank Stephan
On the Data Consumption Benefits of Accepting Increased Uncertainty. ALT (2004)
Patrick Caldon, Eric Martin
Limiting Resolution: From Foundations to Implementation. ICLP (2004)
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
Identifying Clusters from Positive Data Electron. Colloquium Comput. Complex. (058) (2004)
John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan
Identifying Clusters from Positive Data. ICGI (2004)
Tri M. Cao, Eric Martin, Paul Compton
On the Convergence of Incremental Knowledge Base Construction.. Discovery Science (2004)
Eric Martin, Arun Sharma, Frank Stephan
Learning power and language expressiveness. Theor. Comput. Sci. 298 (2) (2003)
Eric Martin, Arun Sharma, Frank Stephan
On Ordinal VC-Dimension and Some Notions of Complexity. ALT (2003)
Eric Martin, Phuong Minh Nguyen, Arun Sharma, Frank Stephan
Learning in Logic with RichProlog. ICLP (2002)
Eric Martin, Arun Sharma, Frank Stephan
Learning, Logic, and Topology in a Common Framework. ALT (2002)
Jane Brennan, Eric Martin
Foundations for a Formalism of Nearness. Australian Joint Conference on Artificial Intelligence (2002)
Samir Chopra, Eric Martin
Generalized Logical Consequence: Making Room for Induction in the Logic of Science. J. Philos. Log. 31 (3) (2002)
Eric Martin, Arun Sharma, Frank Stephan
A General Theory of Deduction, Induction, and Learning. Discovery Science (2001)
Eric Martin, Daniel N. Osherson
Induction by Enumeration. Inf. Comput. 171 (1) (2001)
Eric Martin, Daniel N. Osherson
Scientific Discovery on Positive Data via Belief Revision. J. Philos. Log. 29 (5) (2000)
Eric Martin, Arun Sharma
On Sufficient Conditions for Learnability of Logic Programs from Positive Data. ILP (1999)
Eric Martin, Daniel N. Osherson
Scientific Discovery Based on Belief Revision. J. Symb. Log. 62 (4) (1997)
Eric Martin, Daniel N. Osherson
A note on the use of probabilities by mechanical learners. EuroCOLT (1995)