Arun Sharma

Vijay Kumar, Arun Sharma, Rajesh Kumar: Applying Soft Computing Approaches to Predict Defect Density in Software Product Releases: An Empirical Study. Computing and Informatics 32(1): 203-224 (2013)

Kirti Tyagi, Arun Sharma: A rule-based approach for estimating the reliability of component-based systems. Advances in Engineering Software 54: 24-29 (2012)

Vineet Sharma, S. A. M. Rizvi, Arun Sharma: Software licenses: a tool to control distribution of software. ACM SIGSOFT Software Engineering Notes 37(6): 1-4 (2012)

Vijay Kumar, Arun Sharma, Rajesh Kumar, P. S. Grover: Quality aspects for component-based systems: A metrics based approach. Softw., Pract. Exper. 42(12): 1531-1548 (2012)

Manoj Kumar, Arun Sharma, Rajesh Kumar: Towards Multi-Faceted Test Cases Optimization. JSEA 4(9): 550-557 (2011)

Arun Sharma, Samarth Gupta: A few useful considerations in the development of intra-day trading software: comparing indian intra-day trading software with foreign software. ACM SIGSOFT Software Engineering Notes 36(4): 1-5 (2011)

Kirti Tyagi, Arun Sharma: Reliability of component based systems: a critical survey. ACM SIGSOFT Software Engineering Notes 36(6): 1-6 (2011)

Shrddha Sagar, N. W. Nerurkar, Arun Sharma: A soft computing based approach to estimate reusability of software components. ACM SIGSOFT Software Engineering Notes 35(4): 1-4 (2010)

Shrddha Sagar, N. W. Nerurkar, Arun Sharma: A soft computing based approach to estimate reusability of software components. ACM SIGSOFT Software Engineering Notes 35(5): 1-5 (2010)

Arun Sharma: Enumerating Permutations that Avoid Three Term Arithmetic Progressions. Electr. J. Comb. 16(1) (2009)

Arun Sharma, P. S. Grover, Rajesh Kumar Bhatia: Reusability assessment for software components. ACM SIGSOFT Software Engineering Notes 34(2): 1-6 (2009)

Arun Sharma, P. S. Grover, Rajesh Kumar: Dependency analysis for component-based software systems. ACM SIGSOFT Software Engineering Notes 34(4): 1-6 (2009)

Arun Sharma, P. S. Grover, Rajesh Kumar: Predicting Maintainability of Component-Based Systems by Using Fuzzy Logic. IC3 2009: 581-591

Bing Dang, Steven L. Wright, Paul S. Andry, Edmund J. Sprogis, Cornelia K. Tsang, M. John Interrante, Bucknell C. Webb, Robert J. Polastre, Raymond R. Horton, Chirag S. Patel, Arun Sharma, J. Zheng, Katsuyuki Sakuma, John U. Knickerbocker: 3D chip stacking with C4 technology. IBM Journal of Research and Development 52(6): 599-609 (2008)

Arun Sharma, Rajesh Kumar Bhatia, P. S. Grover: Empirical Evaluation and Validation of Interface Complexity Metrics for Software Components. International Journal of Software Engineering and Knowledge Engineering 18(7): 919-931 (2008)

L. Valdevit, V. Khanna, Arun Sharma, Sri M. Sri-Jayantha, David L. Questad, K. Sikka: Organic substrates for flip-chip design: A thermo-mechanical model that accounts for heterogeneity and anisotropy. Microelectronics Reliability 48(2): 245-260 (2008)

Arun Sharma, Rajesh Kumar Bhatia, P. S. Grover: Estimation of quality for software components: an empirical approach. ACM SIGSOFT Software Engineering Notes 33(6): 1-10 (2008)

P. S. Grover, Rajesh Kumar Bhatia, Arun Sharma: Few useful considerations for maintaining software components and component-based systems. ACM SIGSOFT Software Engineering Notes 32(5): 1-5 (2007)

Eric Martin, Arun Sharma, Frank Stephan: On the data consumption benefits of accepting increased uncertainty. Theor. Comput. Sci. 382(3): 170-182 (2007)

Eric Martin, Arun Sharma, Frank Stephan: Deduction, Induction, and beyond in Parametric Logic. Induction, Algorithmic Learning Theory, and Philosophy 2007: 55-110

John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006)

Eric Martin, Arun Sharma, Frank Stephan: Unifying logic, topology and learning in Parametric logic. Theor. Comput. Sci. 350(1): 103-124 (2006)

Eric Martin, Arun Sharma, Frank Stephan: On ordinal VC-dimension and some notions of complexity. Theor. Comput. Sci. 364(1): 62-76 (2006)

John U. Knickerbocker, Paul S. Andry, L. Paivikki Buchwalter, Alina Deutsch, Raymond R. Horton, Keith A. Jenkins, Young Hoon Kwark, Gerald McVicker, Chirag S. Patel, Robert J. Polastre, Christian D. Schuster, Arun Sharma, Sri M. Sri-Jayantha, Christopher W. Surovic, Cornelia K. Tsang, Bucknell C. Webb, Steven L. Wright, Samuel R. McKnight, Edmund J. Sprogis, Bing Dang: Development of next-generation system-on-package (SOP) technology based on silicon carriers with fine-pitch chip interconnection. IBM Journal of Research and Development 49(4-5): 725-754 (2005)

Eric Martin, Arun Sharma: On a Syntactic Characterization of Classification with a Mind Change Bound. COLT 2005: 413-428

Arun Sharma, Frank Stephan, Yuri Ventsov: Generalized notions of mind change complexity. Inf. Comput. 189(2): 235-262 (2004)

John Case, Efim B. Kinber, Arun Sharma, Frank Stephan: On the classification of recursive languages. Inf. Comput. 192(1): 15-40 (2004)

Arun Sharma, Dinesh K. Kumar, Sanjay Kumar, Neil McLachlan: Wavelet Directional Histograms of the Spatio-Temporal Templates of Human Gestures. IJWMIP 2(3): 283-298 (2004)

Aleksandar Ignjatovic, Arun Sharma: Some applications of logic to feasibility in higher types. ACM Trans. Comput. Log. 5(2): 332-350 (2004)

Eric Martin, Arun Sharma, Frank Stephan: On the Data Consumption Benefits of Accepting Increased Uncertainty. ALT 2004: 83-98

Arun Sharma: Web Searching and S 2 Queries. APWeb 2004: 20-23

Arun Sharma, Dinesh Kant Kumar: Moments and Wavelets for Classification of Human Gestures Represented by Spatio-Temporal Templates. Australian Conference on Artificial Intelligence 2004: 215-226

John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. ICGI 2004: 103-114

Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma: Visual Hand Movements for Machine ControL. ICINCO (2) 2004: 215-220

Arun Sharma, Dinesh Kant Kumar, Sanjay Kumar, Neil McLachlan: Wavelet Directional Histograms for Classification of Human Gestures Represented by Spatio-Temporal Templates. MMM 2004: 57-63

Arun Sharma, Dinesh Kant Kumar, Sanjay Kumar, Neil McLachlan: Recognition of Human Actions Using Moment Based Features and Artificial Neural Networks. MMM 2004: 368

Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma, Neil McLachlan: Visual Hand Gestures Classification Using Temporal Motion Templates and Wavelet Transforms. MMM 2004: 369

Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma, Neil McLachlan: Visual Hand Gestures Classification Using Temporal Motion Templates. MMM 2004: 372

John Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. Electronic Colloquium on Computational Complexity (ECCC)(058) (2004)

Sanjay Kumar, Dinesh K. Kumar, Arun Sharma, Neil McLachlan: Visual Hand Gestures Classification Using Wavelet Transforms. IJWMIP 1(4): 373-392 (2003)

Eric Martin, Arun Sharma, Frank Stephan: Learning power and language expressiveness. Theor. Comput. Sci. 2(298): 365-383 (2003)

Eric Martin, Arun Sharma, Frank Stephan: On Ordinal VC-Dimension and Some Notions of Complexity. ALT 2003: 54-68

John Case, Matthias Ott, Arun Sharma, Frank Stephan: Learning to Win Process-Control Games Watching Game-Masters. Inf. Comput. 174(1): 1-19 (2002)

Sanjay Jain, Arun Sharma: Mind change complexity of learning logic programs. Theor. Comput. Sci. 284(1): 143-160 (2002)

Osamu Watanabe, Arun Sharma: Preface. Theor. Comput. Sci. 288(2): 195-196 (2002)

Eric Martin, Arun Sharma, Frank Stephan: Learning, Logic, and Topology in a Common Framework. ALT 2002: 248-262

Eric Martin, Phuong Minh Nguyen, Arun Sharma, Frank Stephan: Learning in Logic with RichProlog. ICLP 2002: 239-254

Aleksandar Ignjatovic, Arun Sharma: Some applications of logic to feasibility in higher types. CoRR cs.LO/0204045 (2002)

John Case, Sanjay Jain, Arun Sharma: Synthesizing noise-tolerant language learners. Theor. Comput. Sci. 261(1): 31-56 (2001)

John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive learning models for concept drift. Theor. Comput. Sci. 268(2): 323-349 (2001)

Eric Martin, Arun Sharma, Frank Stephan: A General Theory of Deduction, Induction, and Learning. Discovery Science 2001: 228-242

John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. J. Comput. Syst. Sci. 60(2): 234-257 (2000)

Sanjay Jain, Arun Sharma: Team Learning of Computable Languages. Theory Comput. Syst. 33(1): 35-58 (2000)

Hiroki Arimura, Sanjay Jain, Arun Sharma (Eds.): 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

Ding-Zhu Du, Peter Eades, Vladimir Estivill-Castro, Xuemin Lin, Arun Sharma (Eds.): Computing and Combinatorics, 6th Annual International Conference, COCOON 2000, Sydney, Australia, July 26-28, 2000, Proceedings. Lecture Notes in Computer Science 1858, Springer 2000, isbn 3-540-67787-9

Andris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. Theor. Comput. Sci. 220(2): 323-343 (1999)

Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan: The VC-Dimension of Subclasses of Pattern. ALT 1999: 93-105

Sanjay Jain, Arun Sharma: On a Generalized Notion of Mistake Bounds. COLT 1999: 249-256

Sanjay Jain, Arun Sharma: Mind Change Complexity of Learning Logic Programs. EuroCOLT 1999: 198-213

Eric Martin, Arun Sharma: On Sufficient Conditions for Learnability of Logic Programs from Positive Data. ILP 1999: 198-209

Sanjay Jain, Arun Sharma: Generalization and Specialization Strategies for Learning r.e. Languages. Ann. Math. Artif. Intell. 23(1-2): 1-26 (1998)

Arun Sharma: A Note on Batch and Incremental Learnability. J. Comput. Syst. Sci. 56(3): 272-276 (1998)

John Case, Matthias Ott, Arun Sharma, Frank Stephan: Learning to Win Process-Control Games Watching Game-Masters. ALT 1998: 31-45

John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive Learning Models for Concept Drift. ALT 1998: 276-290

Eric McCreath, Arun Sharma: LIME: A System for Learning Relations. ALT 1998: 336-374

John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. COLT 1998: 44-55

Sanjay Jain, Arun Sharma: Characterizing Language Identification in Terms of Computable Numberings. Ann. Pure Appl. Logic 84(1): 51-72 (1997)

Sanjay Jain, Arun Sharma: Elementary Formal Dystems, Intrinsic Complexity, and Procrastination. Inf. Comput. 132(1): 65-84 (1997)

Sanjay Jain, Arun Sharma: The Structure of Intrinsic Complexity of Learning. J. Symb. Log. 62(4): 1187-1201 (1997)

Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. SIAM J. Comput. 26(4): 961-990 (1997)

John Case, Sanjay Jain, Arun Sharma: Synthesizing Noise-Tolerant Language Learners. ALT 1997: 228-243

Arun Sharma, Frank Stephan, Yuri Ventsov: Generalized Notions of Mind Change Complexity. COLT 1997: 96-108

Andris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. EuroCOLT 1997: 301-315

Eric McCreath, Arun Sharma: ILP with Noise and Fixed Example Size: A Bayesian Approach. IJCAI 1997: 1310-1315

John Case, Efim B. Kinber, Arun Sharma, Frank Stephan: On the Classification of Computable Languages. STACS 1997: 225-236

John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Changes in Hypothesis Size. Inf. Comput. 128(2): 73-86 (1996)

Sanjay Jain, Arun Sharma: Computational Limits on Team Identification of Languages. Inf. Comput. 130(1): 19-60 (1996)

Sanjay Jain, Arun Sharma: The Intrinsic Complexity of Language Identification. J. Comput. Syst. Sci. 52(3): 393-402 (1996)

John Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness. Theor. Comput. Sci. 164(1&2): 13-28 (1996)

Sanjay Jain, Arun Sharma: Elementary Formal Systems, Intrinsic Complexity, and Procrastination. COLT 1996: 181-192

Anthony-Trung Nguyen, Maged M. Michael, Arun Sharma, Josep Torrellas: The Augmint multiprocessor simulation toolkit for Intel x86 architectures. ICCD 1996: 486-490

Sanjay Jain, Arun Sharma: Team Learning of Recursive Languages. PRICAI 1996: 324-335

Setsuo Arikawa, Arun Sharma (Eds.): 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

John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification. Inf. Comput. 116(2): 174-192 (1995)

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)

Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification. Mathematical Systems Theory 28(3): 267-279 (1995)

Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. Theor. Comput. Sci. 137(1): 85-108 (1995)

John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Paradigm Shifts. ALT 1995: 153-168

Sanjay Jain, Arun Sharma: The structure of intrinsic complexity of learning. EuroCOLT 1995: 169-181

Sanjay Jain, Arun Sharma: On Identification by Teams and Probabilistic Machines. GOSLER Final Report 1995: 108-145

Sanjay Jain, Arun Sharma: Characterizing Language Identification by Standardizing Operations. J. Comput. Syst. Sci. 49(1): 96-107 (1994)

John Case, Sanjay Jain, Arun Sharma: Vacillatory Learning of Nearly Minimal Size Grammars. J. Comput. Syst. Sci. 49(2): 189-207 (1994)

Sanjay Jain, Arun Sharma: Program Size Restrictions in Computational Learning. Theor. Comput. Sci. 127(2): 351-386 (1994)

Sanjay Jain, Arun Sharma: On Monotonic Strategies for Learning r.e. Languages. AII/ALT 1994: 349-364

Sanjay Jain, Arun Sharma: On the Intrinsic Complexity of Language Identification. COLT 1994: 278-286

Sanjay Jain, Arun Sharma: Learning with the Knowledge of an Upper Bound on Program Size. Inf. Comput. 102(1): 118-166 (1993)

Sanjay Jain, Arun Sharma: On the Non-Existence of Maximal Inference Degrees for Language Identification. Inf. Process. Lett. 47(2): 81-88 (1993)

Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. ALT 1993: 150-163

Sanjay Jain, Arun Sharma: Probability is More Powerful Than Team for Language Identification from Positive Data. COLT 1993: 192-198

John Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. Int. J. Found. Comput. Sci. 3(1): 93-115 (1992)

Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. AII 1992: 108-128

Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification (Extended Abstract). ALT 1992: 159-168

John Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. COLT 1992: 193-202

Sanjay Jain, Arun Sharma: Learning in the Presence of Partial Explanations. Inf. Comput. 95(2): 162-191 (1991)

John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification. FSTTCS 1991: 121-140

John Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness (Extended Abstract). ALT 1990: 282-288

Sanjay Jain, Arun Sharma: Finite Learning by a "Team". COLT 1990: 163-177

Sanjay Jain, Arun Sharma: Language Learning by a "Team" (Extended Abstract). ICALP 1990: 153-166

Sanjay Jain, Arun Sharma: Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher. TARK 1990: 225-239

Sanjay Jain, Arun Sharma, John Case: Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. COLT 1989: 189-199