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ORCIDEric Martin 0002
Person information
- affiliation: University of New South Wales, Australia
Other persons with the same name
- Eric Martin — disambiguation page
- Eric Martin 0001 — Université de Bretagne-Sud
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2020 – today
- 2022
[j22]Eric Martin
:
Disjunctive logic programs, answer sets, and the cut rule. Arch. Math. Log. 61(7-8): 903-937 (2022)- [j21]Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan:
Learners based on transducers. Inf. Comput. 283: 104676 (2022)
2010 – 2019
- 2019
- [j20]Eric Martin:
Nonmonotonicity in the Framework of Parametric Logic. Stud Logica 107(5): 1025-1077 (2019) - 2018
- [j19]Eric Martin, Frank Stephan:
Implementing fragments of ZFC within an r.e. Universe. J. Log. Comput. 28(1): 1-32 (2018) - [c25]Sanjay Jain, Shao Ning Kuek, Eric Martin, Frank Stephan:
Learners Based on Transducers. LATA 2018: 169-181 - 2015
- [j18]Eric Andre Martin:
Logic programming as classical inference. J. Appl. Log. 13(3): 316-369 (2015) - [c24]Han Xu, Eric Martin, Ashesh Mahidadia:
Extractive Summarisation Based on Keyword Profile and Language Model. HLT-NAACL 2015: 123-132 - 2014
- [j17]Sanjay Jain, Eric Martin, Frank Stephan:
Robust learning of automatic classes of languages. J. Comput. Syst. Sci. 80(4): 777-795 (2014) - [j16]Han Xu, Eric Martin, Ashesh Mahidadia:
Contents and time sensitive document ranking of scientific literature. J. Informetrics 8(3): 546-561 (2014) - [c23]Han Xu, Eric Martin, Ashesh Mahidadia:
Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations. ICDM Workshops 2014: 613-620 - [c22]Han Xu, Eric Martin, Ashesh Mahidadia:
Topical establishment leveraging literature evolution. JCDL 2014: 249-252 - 2013
- [j15]Sanjay Jain, Eric Martin, Frank Stephan:
Learning and classifying. Theor. Comput. Sci. 482: 73-85 (2013) - 2012
- [j14]Jane Brennan, Eric Martin:
Spatial proximity is more than just a distance measure. Int. J. Hum. Comput. Stud. 70(1): 88-106 (2012) - [j13]Eric Martin:
Contextual hypotheses and semantics of logic programs. Theory Pract. Log. Program. 12(6): 843-887 (2012) - 2011
- [c21]Sanjay Jain, Eric Martin, Frank Stephan:
Robust Learning of Automatic Classes of Languages. ALT 2011: 55-69 - [c20]Sanjay Jain, Eric Martin, Frank Stephan:
Learning and Classifying. ALT 2011: 70-83
2000 – 2009
- 2009
- [j12]Sanjay Jain, Eric Martin, Frank Stephan:
Input-Dependence in Function-Learning. Theory Comput. Syst. 45(4): 849-864 (2009) - [c19]Eric Martin, Jean Sallantin:
A Dialectic Approach to Problem-Solving. Discovery Science 2009: 417-424 - [i2]Eric Andre Martin:
Logic Programming Revisited from a Classical Standpoint. CoRR abs/0901.0733 (2009) - 2008
- [j11]Christopher Dartnell, Eric Martin, Hélène Hagège, Jean Sallantin:
Human Discovery and Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 2(4): 55-69 (2008) - [j10]Sanjay Jain, Eric Martin, Frank Stephan:
Absolute versus probabilistic classification in a logical setting. Theor. Comput. Sci. 397(1-3): 114-128 (2008) - [c18]Christopher Dartnell, Eric Martin, Jean Sallantin:
Learning from Each Other. Discovery Science 2008: 148-159 - 2007
- [j9]Eric Martin, Arun Sharma, Frank Stephan:
On the data consumption benefits of accepting increased uncertainty. Theor. Comput. Sci. 382(3): 170-182 (2007) - [c17]Patrick Caldon, Eric Martin:
Learning a Plan in the Limit. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning 2007: 25-34 - [c16]Sanjay Jain, Eric Martin, Frank Stephan:
Input-Dependence in Function-Learning. CiE 2007: 378-388 - [p2]Eric Martin, Arun Sharma, Frank Stephan:
Deduction, Induction, and beyond in Parametric Logic. Induction, Algorithmic Learning Theory, and Philosophy 2007: 55-110 - 2006
- [j8]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006) - [j7]Eric Martin, Arun Sharma, Frank Stephan:
Unifying logic, topology and learning in Parametric logic. Theor. Comput. Sci. 350(1): 103-124 (2006) - [j6]Eric Martin, Arun Sharma, Frank Stephan:
On ordinal VC-dimension and some notions of complexity. Theor. Comput. Sci. 364(1): 62-76 (2006) - [c15]Eric Martin:
Quantification over names and modalities. Advances in Modal Logic 2006: 353-372 - [c14]Jane Brennan, Eric Martin:
Membership Functions for Spatial Proximity. Australian Conference on Artificial Intelligence 2006: 942-949 - 2005
- [c13]Sanjay Jain, Eric Martin, Frank Stephan:
Absolute Versus Probabilistic Classification in a Logical Setting. ALT 2005: 327-342 - [c12]Eric Martin, Arun Sharma:
On a Syntactic Characterization of Classification with a Mind Change Bound. COLT 2005: 413-428 - 2004
- [c11]Eric Martin, Arun Sharma, Frank Stephan:
On the Data Consumption Benefits of Accepting Increased Uncertainty. ALT 2004: 83-98 - [c10]Tri M. Cao, Eric Martin, Paul Compton:
On the Convergence of Incremental Knowledge Base Construction.. Discovery Science 2004: 207-218 - [c9]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. ICGI 2004: 103-114 - [c8]Patrick Caldon, Eric Martin:
Limiting Resolution: From Foundations to Implementation. ICLP 2004: 149-164 - [i1]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. Electron. Colloquium Comput. Complex. TR04 (2004) - 2003
- [j5]Eric Martin, Arun Sharma, Frank Stephan:
Learning power and language expressiveness. Theor. Comput. Sci. 298(2): 365-383 (2003) - [c7]Eric Martin, Arun Sharma, Frank Stephan:
On Ordinal VC-Dimension and Some Notions of Complexity. ALT 2003: 54-68 - 2002
- [j4]Samir Chopra, Eric Martin:
Generalized Logical Consequence: Making Room for Induction in the Logic of Science. J. Philos. Log. 31(3): 245-280 (2002) - [c6]Eric Martin, Arun Sharma, Frank Stephan:
Learning, Logic, and Topology in a Common Framework. ALT 2002: 248-262 - [c5]Jane Brennan, Eric Martin:
Foundations for a Formalism of Nearness. Australian Joint Conference on Artificial Intelligence 2002: 71-82 - [c4]Eric Martin, Phuong Minh Nguyen, Arun Sharma, Frank Stephan:
Learning in Logic with RichProlog. ICLP 2002: 239-254 - 2001
- [j3]Eric Martin, Daniel N. Osherson:
Induction by Enumeration. Inf. Comput. 171(1): 50-68 (2001) - [c3]Eric Martin, Arun Sharma, Frank Stephan:
A General Theory of Deduction, Induction, and Learning. Discovery Science 2001: 228-242 - 2000
- [j2]Eric Martin, Daniel N. Osherson:
Scientific Discovery on Positive Data via Belief Revision. J. Philos. Log. 29(5): 483-506 (2000)
1990 – 1999
- 1999
- [c2]Eric Martin, Arun Sharma:
On Sufficient Conditions for Learnability of Logic Programs from Positive Data. ILP 1999: 198-209 - 1997
- [j1]Eric Martin, Daniel N. Osherson:
Scientific Discovery Based on Belief Revision. J. Symb. Log. 62(4): 1352-1370 (1997) - [p1]Daniel N. Osherson, Dick de Jongh, Eric Martin, Scott Weinstein:
Formal Learning Theory. Handbook of Logic and Language 1997: 737-775 - 1995
- [c1]Eric Martin, Daniel N. Osherson:
A note on the use of probabilities by mechanical learners. EuroCOLT 1995: 261-271
Coauthor Index
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