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Arun Sharma 0001
Person information
- affiliation: Queensland University of Technology, Brisbane, Australia
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
Other persons with the same name
- Arun Sharma — disambiguation page
- Arun Sharma 0002 — Indira Gandhi Delhi Technical University for Women, Department of Information Technology, New Delhi, India (and 3 more)
- Arun Sharma 0003 — University of California, Department of Mathematics, Berkeley, CA, USA
- Arun Sharma 0004 — State University of New York at Albany, ILS Institute, Albany, NY, USA
- Arun Sharma 0005 — RMIT University, School of Electrical and Computer Engineering, Melbourne, Australia
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2000 – 2009
- 2007
- [j38]Eric Martin, Arun Sharma, Frank Stephan:
On the data consumption benefits of accepting increased uncertainty. Theor. Comput. Sci. 382(3): 170-182 (2007) - [p1]Eric Martin, Arun Sharma, Frank Stephan:
Deduction, Induction, and beyond in Parametric Logic. Induction, Algorithmic Learning Theory, and Philosophy 2007: 55-110 - 2006
- [j37]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006) - [j36]Eric Martin, Arun Sharma, Frank Stephan:
Unifying logic, topology and learning in Parametric logic. Theor. Comput. Sci. 350(1): 103-124 (2006) - [j35]Eric Martin, Arun Sharma, Frank Stephan:
On ordinal VC-dimension and some notions of complexity. Theor. Comput. Sci. 364(1): 62-76 (2006) - 2005
- [c39]Eric Martin, Arun Sharma:
On a Syntactic Characterization of Classification with a Mind Change Bound. COLT 2005: 413-428 - 2004
- [j34]Arun Sharma, Frank Stephan, Yuri Ventsov:
Generalized notions of mind change complexity. Inf. Comput. 189(2): 235-262 (2004) - [j33]John Case, Efim B. Kinber, Arun Sharma, Frank Stephan:
On the classification of recursive languages. Inf. Comput. 192(1): 15-40 (2004) - [j32]Aleksandar Ignjatovic, Arun Sharma:
Some applications of logic to feasibility in higher types. ACM Trans. Comput. Log. 5(2): 332-350 (2004) - [c38]Eric Martin, Arun Sharma, Frank Stephan:
On the Data Consumption Benefits of Accepting Increased Uncertainty. ALT 2004: 83-98 - [c37]Arun Sharma:
Web Searching and S 2 Queries. APWeb 2004: 20-23 - [c36]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. ICGI 2004: 103-114 - [i2]John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan:
Identifying Clusters from Positive Data. Electron. Colloquium Comput. Complex. TR04 (2004) - 2003
- [j31]Eric Martin, Arun Sharma, Frank Stephan:
Learning power and language expressiveness. Theor. Comput. Sci. 298(2): 365-383 (2003) - [c35]Eric Martin, Arun Sharma, Frank Stephan:
On Ordinal VC-Dimension and Some Notions of Complexity. ALT 2003: 54-68 - 2002
- [j30]John Case, Matthias Ott, Arun Sharma, Frank Stephan:
Learning to Win Process-Control Games Watching Game-Masters. Inf. Comput. 174(1): 1-19 (2002) - [j29]Sanjay Jain, Arun Sharma:
Mind change complexity of learning logic programs. Theor. Comput. Sci. 284(1): 143-160 (2002) - [j28]Osamu Watanabe, Arun Sharma:
Preface. Theor. Comput. Sci. 288(2): 195-196 (2002) - [c34]Eric Martin, Arun Sharma, Frank Stephan:
Learning, Logic, and Topology in a Common Framework. ALT 2002: 248-262 - [c33]Eric Martin, Phuong Minh Nguyen, Arun Sharma, Frank Stephan:
Learning in Logic with RichProlog. ICLP 2002: 239-254 - [i1]Aleksandar Ignjatovic, Arun Sharma:
Some applications of logic to feasibility in higher types. CoRR cs.LO/0204045 (2002) - 2001
- [j27]Sanjay Jain, Arun Sharma:
On a Generalized Notion of Mistake Bounds. Inf. Comput. 166(2): 156-166 (2001) - [j26]John Case, Sanjay Jain, Arun Sharma:
Synthesizing noise-tolerant language learners. Theor. Comput. Sci. 261(1): 31-56 (2001) - [j25]John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan:
Predictive learning models for concept drift. Theor. Comput. Sci. 268(2): 323-349 (2001) - [c32]Eric Martin, Arun Sharma, Frank Stephan:
A General Theory of Deduction, Induction, and Learning. Discovery Science 2001: 228-242 - 2000
- [j24]John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan:
Robust Learning Aided by Context. J. Comput. Syst. Sci. 60(2): 234-257 (2000) - [j23]Sanjay Jain, Arun Sharma:
Team Learning of Computable Languages. Theory Comput. Syst. 33(1): 35-58 (2000) - [e2]Hiroki Arimura, Sanjay Jain, Arun Sharma:
Algorithmic Learning Theory, 11th International Conference, ALT 2000, Sydney, Australia, December 11-13, 2000, Proceedings. Lecture Notes in Computer Science 1968, Springer 2000, ISBN 3-540-41237-9 [contents]
1990 – 1999
- 1999
- [j22]Andris Ambainis, Sanjay Jain, Arun Sharma:
Ordinal Mind Change Complexity of Language Identification. Theor. Comput. Sci. 220(2): 323-343 (1999) - [c31]Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan:
The VC-Dimension of Subclasses of Pattern. ALT 1999: 93-105 - [c30]Sanjay Jain, Arun Sharma:
On a Generalized Notion of Mistake Bounds. COLT 1999: 249-256 - [c29]Sanjay Jain, Arun Sharma:
Mind Change Complexity of Learning Logic Programs. EuroCOLT 1999: 198-213 - [c28]Eric Martin, Arun Sharma:
On Sufficient Conditions for Learnability of Logic Programs from Positive Data. ILP 1999: 198-209 - 1998
- [j21]Sanjay Jain, Arun Sharma:
Generalization and Specialization Strategies for Learning r.e. Languages. Ann. Math. Artif. Intell. 23(1-2): 1-26 (1998) - [j20]Arun Sharma:
A Note on Batch and Incremental Learnability. J. Comput. Syst. Sci. 56(3): 272-276 (1998) - [c27]John Case, Matthias Ott, Arun Sharma, Frank Stephan:
Learning to Win Process-Control Games Watching Game-Masters. ALT 1998: 31-45 - [c26]John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan:
Predictive Learning Models for Concept Drift. ALT 1998: 276-290 - [c25]Eric McCreath, Arun Sharma:
LIME: A System for Learning Relations. ALT 1998: 336-374 - [c24]John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan:
Robust Learning Aided by Context. COLT 1998: 44-55 - 1997
- [j19]Sanjay Jain, Arun Sharma:
Characterizing Language Identification in Terms of Computable Numberings. Ann. Pure Appl. Log. 84(1): 51-72 (1997) - [j18]Sanjay Jain, Arun Sharma:
Elementary Formal Systems, Intrinsic Complexity, and Procrastination. Inf. Comput. 132(1): 65-84 (1997) - [j17]Sanjay Jain, Arun Sharma:
The Structure of Intrinsic Complexity of Learning. J. Symb. Log. 62(4): 1187-1201 (1997) - [j16]Ganesh Baliga, Sanjay Jain, Arun Sharma:
Learning from Multiple Sources of Inaccurate Data. SIAM J. Comput. 26(4): 961-990 (1997) - [c23]John Case, Sanjay Jain, Arun Sharma:
Synthesizing Noise-Tolerant Language Learners. ALT 1997: 228-243 - [c22]Arun Sharma, Frank Stephan, Yuri Ventsov:
Generalized Notions of Mind Change Complexity. COLT 1997: 96-108 - [c21]Andris Ambainis, Sanjay Jain, Arun Sharma:
Ordinal Mind Change Complexity of Language Identification. EuroCOLT 1997: 301-315 - [c20]Eric McCreath, Arun Sharma:
ILP with Noise and Fixed Example Size: A Bayesian Approach. IJCAI 1997: 1310-1315 - [c19]John Case, Efim B. Kinber, Arun Sharma, Frank Stephan:
On the Classification of Computable Languages. STACS 1997: 225-236 - 1996
- [j15]John Case, Sanjay Jain, Arun Sharma:
Machine Induction Without Revolutionary Changes in Hypothesis Size. Inf. Comput. 128(2): 73-86 (1996) - [j14]Sanjay Jain, Arun Sharma:
Computational Limits on Team Identification of Languages. Inf. Comput. 130(1): 19-60 (1996) - [j13]Sanjay Jain, Arun Sharma:
The Intrinsic Complexity of Language Identification. J. Comput. Syst. Sci. 52(3): 393-402 (1996) - [j12]John Case, Sanjay Jain, Arun Sharma:
Anomalous Learning Helps Succinctness. Theor. Comput. Sci. 164(1&2): 13-28 (1996) - [c18]Sanjay Jain, Arun Sharma:
Elementary Formal Systems, Intrinsic Complexity, and Procrastination. COLT 1996: 181-192 - [c17]Sanjay Jain, Arun Sharma:
Team Learning of Recursive Languages. PRICAI 1996: 324-335 - [e1]Setsuo Arikawa, Arun Sharma:
Algorithmic Learning Theory, 7th International Workshop, ALT '96, Sydney, Australia, October 23-25, 1996, Proceedings. Lecture Notes in Computer Science 1160, Springer 1996, ISBN 3-540-61863-5 [contents] - 1995
- [j11]John Case, Sanjay Jain, Arun Sharma:
Complexity Issues for Vacillatory Function Identification. Inf. Comput. 116(2): 174-192 (1995) - [j10]Sanjay Jain, Arun Sharma, Mahendran Velauthapillai:
Finite Identification of Functions by Teams with Success Ratio 1\over2 and Above. Inf. Comput. 121(2): 201-213 (1995) - [j9]Sanjay Jain, Arun Sharma:
Prudence in Vacillatory Language Identification. Math. Syst. Theory 28(3): 267-279 (1995) - [j8]Sanjay Jain, Arun Sharma:
On Aggregating Teams of Learning Machines. Theor. Comput. Sci. 137(1): 85-108 (1995) - [c16]John Case, Sanjay Jain, Arun Sharma:
Machine Induction Without Revolutionary Paradigm Shifts. ALT 1995: 153-168 - [c15]Sanjay Jain, Arun Sharma:
The structure of intrinsic complexity of learning. EuroCOLT 1995: 169-181 - [c14]Sanjay Jain, Arun Sharma:
On Identification by Teams and Probabilistic Machines. GOSLER Final Report 1995: 108-145 - 1994
- [j7]Sanjay Jain, Arun Sharma:
Characterizing Language Identification by Standardizing Operations. J. Comput. Syst. Sci. 49(1): 96-107 (1994) - [j6]John Case, Sanjay Jain, Arun Sharma:
Vacillatory Learning of Nearly Minimal Size Grammars. J. Comput. Syst. Sci. 49(2): 189-207 (1994) - [j5]Sanjay Jain, Arun Sharma:
Program Size Restrictions in Computational Learning. Theor. Comput. Sci. 127(2): 351-386 (1994) - [c13]Sanjay Jain, Arun Sharma:
On Monotonic Strategies for Learning r.e. Languages. AII/ALT 1994: 349-364 - [c12]Sanjay Jain, Arun Sharma:
On the Intrinsic Complexity of Language Identification. COLT 1994: 278-286 - 1993
- [j4]Sanjay Jain, Arun Sharma:
Learning with the Knowledge of an Upper Bound on Program Size. Inf. Comput. 102(1): 118-166 (1993) - [j3]Sanjay Jain, Arun Sharma:
On the Non-Existence of Maximal Inference Degrees for Language Identification. Inf. Process. Lett. 47(2): 81-88 (1993) - [c11]Sanjay Jain, Arun Sharma:
On Aggregating Teams of Learning Machines. ALT 1993: 150-163 - [c10]Sanjay Jain, Arun Sharma:
Probability is More Powerful Than Team for Language Identification from Positive Data. COLT 1993: 192-198 - 1992
- [j2]John Case, Sanjay Jain, Arun Sharma:
On Learning Limiting Programs. Int. J. Found. Comput. Sci. 3(1): 93-115 (1992) - [c9]Ganesh Baliga, Sanjay Jain, Arun Sharma:
Learning from Multiple Sources of Inaccurate Data. AII 1992: 108-128 - [c8]Sanjay Jain, Arun Sharma:
Prudence in Vacillatory Language Identification (Extended Abstract). ALT 1992: 159-168 - [c7]John Case, Sanjay Jain, Arun Sharma:
On Learning Limiting Programs. COLT 1992: 193-202 - 1991
- [j1]Sanjay Jain, Arun Sharma:
Learning in the Presence of Partial Explanations. Inf. Comput. 95(2): 162-191 (1991) - [c6]John Case, Sanjay Jain, Arun Sharma:
Complexity Issues for Vacillatory Function Identification. FSTTCS 1991: 121-140 - 1990
- [c5]John Case, Sanjay Jain, Arun Sharma:
Anomalous Learning Helps Succinctness (Extended Abstract). ALT 1990: 282-288 - [c4]Sanjay Jain, Arun Sharma:
Finite Learning by a "Team". COLT 1990: 163-177 - [c3]Sanjay Jain, Arun Sharma:
Language Learning by a "Team" (Extended Abstract). ICALP 1990: 153-166 - [c2]Sanjay Jain, Arun Sharma:
Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher. TARK 1990: 225-239
1980 – 1989
- 1989
- [c1]Sanjay Jain, Arun Sharma, John Case:
Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. COLT 1989: 189-199
Coauthor Index
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