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Sanjay Jain

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2009
203EESanjay Jain: Hypothesis Spaces for Learning. LATA 2009: 43-58
202EESanjay Jain: On some open problems in reflective inductive inference. Inf. Process. Lett. 109(3): 208-211 (2009)
201EESubhash C. Sarin, Balaji Nagarajan, Sanjay Jain, Lingrui Liao: Analytic evaluation of the expectation and variance of different performance measures of a schedule on a single machine under processing time variability. J. Comb. Optim. 17(4): 400-416 (2009)
200EESanjay Jain, Frank Stephan, Ye Nan: Prescribed learning of r.e. classes. Theor. Comput. Sci. 410(19): 1796-1806 (2009)
2008
199EELeonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan: Iterative Learning of Simple External Contextual Languages. ALT 2008: 359-373
198EESanjay Jain, Frank Stephan: Numberings Optimal for Learning. ALT 2008: 434-448
197EESanjay Jain: Tradeoffs in building a generic supply chain simulation capability. Winter Simulation Conference 2008: 1873-1881
196EESanjay Jain, Frank Stephan, Ye Nan: Prescribed Learning of Indexed Families. Fundam. Inform. 83(1-2): 159-175 (2008)
195EESanjay Jain, Frank Stephan: Learning in Friedberg numberings. Inf. Comput. 206(6): 776-790 (2008)
194EELorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Non-U-shaped vacillatory and team learning. J. Comput. Syst. Sci. 74(4): 409-430 (2008)
193EESanjay Jain, Efim B. Kinber: Learning languages from positive data and negative counterexamples. J. Comput. Syst. Sci. 74(4): 431-456 (2008)
192EESanjay Jain, Frank Stephan: Mitotic Classes in Inductive Inference. SIAM J. Comput. 38(4): 1283-1299 (2008)
191EESanjay Jain, Eric Martin, Frank Stephan: Absolute versus probabilistic classification in a logical setting. Theor. Comput. Sci. 397(1-3): 114-128 (2008)
190EESanjay Jain, Efim B. Kinber: Learning and extending sublanguages. Theor. Comput. Sci. 397(1-3): 233-246 (2008)
2007
189EESanjay Jain, Efim B. Kinber: One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples. ALT 2007: 257-271
188EESanjay Jain, Frank Stephan, Ye Nan: Prescribed Learning of R.E. Classes. ALT 2007: 64-78
187EESanjay Jain, Frank Stephan: Learning in Friedberg Numberings. ALT 2007: 79-93
186EELorenzo Carlucci, John Case, Sanjay Jain: Learning Correction Grammars. COLT 2007: 203-217
185EESanjay Jain, Frank Stephan: Mitotic Classes. COLT 2007: 218-232
184EESanjay Jain, Eric Martin, Frank Stephan: Input-Dependence in Function-Learning. CiE 2007: 378-388
183EESanjay Jain, Charles R. McLean, Y. Tina Lee: Towards standards for integrated gaming and simulation for incident management. SCSC 2007: 1213-1222
182EECharles McLean, Sanjay Jain, Frank Riddick, Y. Tina Lee: A simulation architecture for manufacturing interoperability testing. SCSC 2007: 601-608
181EESanjay Jain, Frank Riddick, Andreas Craens, Deogratias Kibira: Distributed simulation for interoperability testing along the supply chain. Winter Simulation Conference 2007: 1044-1052
180EELorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Results on memory-limited U-shaped learning. Inf. Comput. 205(10): 1551-1573 (2007)
179EESanjay Jain, Steffen Lange, Sandra Zilles: Some natural conditions on incremental learning. Inf. Comput. 205(11): 1671-1684 (2007)
178EESanjay Jain, Efim B. Kinber: Iterative learning from positive data and negative counterexamples. Inf. Comput. 205(12): 1777-1805 (2007)
177EESanjay Jain, Yen Kaow Ng, Tiong Seng Tay: Learning languages in a union. J. Comput. Syst. Sci. 73(1): 89-108 (2007)
176EESanjay Jain, Jochen Nessel, Frank Stephan: Invertible classes. Theor. Comput. Sci. 384(1): 49-65 (2007)
175EESanjay Jain, Steffen Lange, Sandra Zilles: A general comparison of language learning from examples and from queries. Theor. Comput. Sci. 387(1): 51-66 (2007)
174EESanjay Jain, Efim B. Kinber: Learning multiple languages in groups. Theor. Comput. Sci. 387(1): 67-76 (2007)
173EESanjay Jain, Efim B. Kinber: Learning languages from positive data and a limited number of short counterexamples. Theor. Comput. Sci. 389(1-2): 190-218 (2007)
2006
172EESanjay Jain, Efim B. Kinber: Learning and Extending Sublanguages. ALT 2006: 139-153
171EESanjay Jain, Efim B. Kinber: Iterative Learning from Positive Data and Negative Counterexamples. ALT 2006: 154-168
170EESanjay Jain, Steffen Lange, Sandra Zilles: Towards a Better Understanding of Incremental Learning. ALT 2006: 169-183
169EELorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Memory-Limited U-Shaped Learning. COLT 2006: 244-258
168EESanjay Jain, Efim B. Kinber: On Learning Languages from Positive Data and a Limited Number of Short Counterexamples. COLT 2006: 259-273
167EESanjay Jain, Frank Stephan: Some Recent Results in U-Shaped Learning. TAMC 2006: 421-431
166EESanjay Jain, Jochen Nessel, Frank Stephan: Invertible Classes. TAMC 2006: 707-720
165EESanjay Jain, Charles R. McLean: A concept prototype for integrated gaming and simulation for incident management. Winter Simulation Conference 2006: 493-500
164EEJohn Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer: Generality's price: Inescapable deficiencies in machine-learned programs. Ann. Pure Appl. Logic 139(1-3): 303-326 (2006)
163EEAreejit Samal, Shalini Singh, Varun Giri, Sandeep Krishna, Nandula Raghuram, Sanjay Jain: Low degree metabolites explain essential reactions and enhance modularity in biological networks. BMC Bioinformatics 7: 118 (2006)
162EESanjay Jain, Efim B. Kinber: Learning languages from positive data and a finite number of queries. Inf. Comput. 204(1): 123-175 (2006)
161EELorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Frank Stephan: Variations on U-shaped learning. Inf. Comput. 204(8): 1264-1294 (2006)
160EEJohn Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. SIAM J. Comput. 36(1): 28-55 (2006)
159EEJohn Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: Learning a subclass of regular patterns in polynomial time. Theor. Comput. Sci. 364(1): 115-131 (2006)
2005
158 Sanjay Jain, Hans-Ulrich Simon, Etsuji Tomita: Algorithmic Learning Theory, 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings Springer 2005
157EESanjay Jain, Hans-Ulrich Simon, Etsuji Tomita: Editors' Introduction. ALT 2005: 1-9
156EESanjay Jain, Steffen Lange, Sandra Zilles: Gold-Style and Query Learning Under Various Constraints on the Target Class. ALT 2005: 226-240
155EELorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan: Non U-Shaped Vacillatory and Team Learning. ALT 2005: 241-255
154EESanjay Jain, Efim B. Kinber: Learning Multiple Languages in Groups. ALT 2005: 256-268
153EESanjay Jain, Eric Martin, Frank Stephan: Absolute Versus Probabilistic Classification in a Logical Setting. ALT 2005: 327-342
152EELorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Frank Stephan: Variations on U-Shaped Learning. COLT 2005: 382-397
151EESanjay Jain, Swee Leong: Stress testing a supply chain using simulation. Winter Simulation Conference 2005: 1650-1657
150EESanjay Jain, Charles R. McLean: Integrated simulation and gaming architecture for incident management training. Winter Simulation Conference 2005: 904-913
149EEJohn Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi: On learning to coordinate: random bits help, insightful normal forms, and competency isomorphisms. J. Comput. Syst. Sci. 71(3): 308-332 (2005)
148EEHiroki Arimura, Sanjay Jain: Preface. Theor. Comput. Sci. 348(1): 1-2 (2005)
2004
147EESanjay Jain, Efim B. Kinber: Learning Languages from Positive Data and Negative Counterexamples. ALT 2004: 54-68
146EESanjay Jain, Efim B. Kinber: Learning Languages from Positive Data and a Finite Number of Queries. FSTTCS 2004: 360-371
145EEJohn Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data. ICGI 2004: 103-114
144EESanjay Jain: Supply Chain Management Tradeoffs Analysis. Winter Simulation Conference 2004: 1358-1364
143EEJohn Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: A Polynomial Time Learner for a Subclass of Regular Patterns Electronic Colloquium on Computational Complexity (ECCC)(038): (2004)
142EEJohn Case, Sanjay Jain, Eric Martin, Arun Sharma, Frank Stephan: Identifying Clusters from Positive Data Electronic Colloquium on Computational Complexity (ECCC)(058): (2004)
141EESanjay Jain, Frank Stephan, Sebastiaan Terwijn: Counting extensional differences in BC-learning. Inf. Comput. 188(1): 127-142 (2004)
140EESanjay Jain, Wolfram Menzel, Frank Stephan: Classes with easily learnable subclasses. Inf. Comput. 190(1): 81-99 (2004)
139EESanjay Jain, Efim B. Kinber, Rolf Wiehagen: Learning all subfunctions of a function. Inf. Comput. 192(2): 185-215 (2004)
138EEJohn Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen: Robust learning--rich and poor. J. Comput. Syst. Sci. 69(2): 123-165 (2004)
137EESanjay Jain, Frank Stephan: Learning how to separate. Theor. Comput. Sci. 313(2): 209-228 (2004)
2003
136EEJohn Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann: Learning a Subclass of Regular Patterns in Polynomial Time. ALT 2003: 234-246
135EEJohn Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer: Generality's Price: Inescapable Deficiencies in Machine-Learned Programs. COLT 2003: 684-698
134EEJohn Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi: On Learning to Coordinate: Random Bits Help, Insightful Normal Forms, and Competency Isomorphisms. COLT 2003: 699-713
133EESanjay Jain, Efim B. Kinber, Rolf Wiehagen: Learning All Subfunctions of a Function. COLT 2003: 714-728
132EESanjay Jain, Charles McLean: Simulation for emergency response: a framework for modeling and simulation for emergency response. Winter Simulation Conference 2003: 1068-1076
131EESanjay Jain: The Intrinsic Complexity of Learning: A Survey. Fundam. Inform. 57(1): 17-37 (2003)
130EESanjay Jain, Efim B. Kinber, Christophe Papazian, Carl H. Smith, Rolf Wiehagen: On the intrinsic complexity of learning recursive functions. Inf. Comput. 184(1): 45-70 (2003)
129EESanjay Jain, Frank Stephan: Learning by switching type of information. Inf. Comput. 185(1): 89-104 (2003)
128EESanjay Jain, Efim B. Kinber: Intrinsic complexity of learning geometrical concepts from positive data. J. Comput. Syst. Sci. 67(3): 546-607 (2003)
127EESanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann: On learning of functions refutably. Theor. Comput. Sci. 1(298): 111-143 (2003)
2002
126EESanjay Jain, Wolfram Menzel, Frank Stephan: Classes with Easily Learnable Subclasses. ALT 2002: 218-232
125EESanjay Jain, Ngai Fong Choong, William G. K. Lee: Manufacturing supply chain applications: modeling computer assembly operations for supply chain integration. Winter Simulation Conference 2002: 1165-1173
124EEJerry Banks, Sanjay Jain, Stephen J. Buckley, Peter Lendermann, Mani S. Manivannan: Supply chain opportunities: panel session: opportunities for simulation in supply chain management. Winter Simulation Conference 2002: 1652-1658
123EEJohn Case, Sanjay Jain, Mandayam Suraj: Control structures in hypothesis spaces: the influence on learning. Theor. Comput. Sci. 270(1-2): 287-308 (2002)
122EESanjay Jain, Arun Sharma: Mind change complexity of learning logic programs. Theor. Comput. Sci. 284(1): 143-160 (2002)
2001
121EESanjay Jain, Frank Stephan: Learning by Switching Type of Information. ALT 2001: 205-218
120EESanjay Jain, Frank Stephan: Learning How to Separate. ALT 2001: 219-234
119EESanjay Jain, Yen Kaow Ng, Tiong Seng Tay: Learning Languages in a Union. ALT 2001: 235-250
118EESanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann: Learning Recursive Functions Refutably. ALT 2001: 283-298
117EEJohn Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen: Robust Learning - Rich and Poor. COLT/EuroCOLT 2001: 143-159
116EESanjay Jain, Efim B. Kinber: Intrinsic Complexity of Learning Geometrical Concepts from Positive Data. COLT/EuroCOLT 2001: 177-193
115EESanjay Jain, Eric C. Ervin, Andrew P. Lathrop, Russell W. Workman, Lisa M. Collins: Analyzing the supply chain for a large logistics operation using simulation. Winter Simulation Conference 2001: 1123-1128
114EESanjay Jain, Russell W. Workman, Lisa M. Collins, Eric C. Ervin, Andrew P. Lathrop: Supply chain applications II: development of a high-level supply chain simulation model. Winter Simulation Conference 2001: 1129-1137
113 Sanjay Jain, Carl H. Smith, Rolf Wiehagen: Robust Learning Is Rich. J. Comput. Syst. Sci. 62(1): 178-212 (2001)
112 John Case, Sanjay Jain: Synthesizing Learners Tolerating Computable Noisy Data. J. Comput. Syst. Sci. 62(3): 413-441 (2001)
111EESanjay Jain, Efim B. Kinber, Rolf Wiehagen: Language Learning from Texts: Degrees of Intrinsic Complexity and Their Characterizations. J. Comput. Syst. Sci. 63(3): 305-354 (2001)
110 Sanjay Jain: On an open problem in classification of languages. J. Exp. Theor. Artif. Intell. 13(2): 113-118 (2001)
109 Sanjay Jain, Jochen Nessel: Some Independence Results for Control Structures in Complete Numberings. J. Symb. Log. 66(1): 357-382 (2001)
108EESanjay Jain: Branch and bound on the network model. Theor. Comput. Sci. 255(1-2): 107-123 (2001)
107EEJohn Case, Keh-Jiann Chen, Sanjay Jain: Costs of general purpose learning. Theor. Comput. Sci. 259(1-2): 455-473 (2001)
106EESanjay Jain, Steffen Lange, Jochen Nessel: On the learnability of recursively enumerable languages from good examples. Theor. Comput. Sci. 261(1): 3-29 (2001)
105EEJohn Case, Sanjay Jain, Arun Sharma: Synthesizing noise-tolerant language learners. Theor. Comput. Sci. 261(1): 31-56 (2001)
104EEJohn Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive learning models for concept drift. Theor. Comput. Sci. 268(2): 323-349 (2001)
2000
103 Hiroki Arimura, Sanjay Jain, Arun Sharma: Algorithmic Learning Theory, 11th International Conference, ALT 2000, Sydney, Australia, December 11-13, 2000, Proceedings Springer 2000
102 Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations. COLT 2000: 47-58
101EEBoon-Ping Gan, Yoke-Hean Low, Sanjay Jain, Stephen John Turner, Wentong Cai, Wen-Jing Hsu, Shell-Ying Huang: Load balancing for conservative simulation on shared memory multiprocessor systems. PADS 2000: 139-146
100EEBoon-Ping Gan, Li Liu, Sanjay Jain, Stephen John Turner, Wentong Cai, Wen-Jing Hsu: Manufacturing sypply chain management: distributed supply chain simulation across enterprise boundaries. Winter Simulation Conference 2000: 1245-1251
99 John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. J. Comput. Syst. Sci. 60(2): 234-257 (2000)
98EEJohn Case, Sanjay Jain, Frank Stephan: Vacillatory and BC learning on noisy data. Theor. Comput. Sci. 241(1-2): 115-141 (2000)
97EESanjay Jain, Efim B. Kinber, Steffen Lange, Rolf Wiehagen, Thomas Zeugmann: Learning languages and functions by erasing. Theor. Comput. Sci. 241(1-2): 143-189 (2000)
96EESanjay Jain, Arun Sharma: Team Learning of Computable Languages. Theory Comput. Syst. 33(1): 35-58 (2000)
1999
95EESanjay Jain, Arun Sharma: On a Generalized Notion of Mistake Bounds. COLT 1999: 249-256
94EESanjay Jain, Arun Sharma: Mind Change Complexity of Learning Logic Programs. EuroCOLT 1999: 198-213
93EEJohn Case, Keh-Jiann Chen, Sanjay Jain: Costs of General Purpose Learning. STACS 1999: 424-433
92EESanjay Jain: Simulation in the next millennium. Winter Simulation Conference 1999: 1478-1484
91EESanjay Jain, Chu-Cheow Lim, Boon-Ping Gan, Yoke-Hean Low: Criticality of detailed modeling in semiconductor supply chain simulation. Winter Simulation Conference 1999: 888-896
90EEChu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanjay Jain, Wentong Cai, Wen-Jing Hsu, Shell-Ying Huang: Performance Prediction Tools for Parallel Discrete-Event Simulation. Workshop on Parallel and Distributed Simulation 1999: 148-155
89 Ganesh Baliga, John Case, Sanjay Jain: The Synthesis of Language Learners. Inf. Comput. 152(1): 16-43 (1999)
88 John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann: Incremental Concept Learning for Bounded Data Mining. Inf. Comput. 152(1): 74-110 (1999)
87 Sanjay Jain: Robust Behaviorally Correct Learning. Inf. Comput. 153(1): 238-248 (1999)
86EESanjay Jain: On a Question of Nearly Minimal Identification of Functions. Inf. Process. Lett. 70(3): 113-117 (1999)
85EEAndris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. Theor. Comput. Sci. 220(2): 323-343 (1999)
1998
84EEJohn Case, Sanjay Jain: Synthesizing Learners Tolerating Computable Noisy Data. ALT 1998: 205-219
83EEJohn Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan: Predictive Learning Models for Concept Drift. ALT 1998: 276-290
82EESanjay Jain: Learning with Refutation. ALT 1998: 291-305
81EESanjay Jain, Carl H. Smith, Rolf Wiehagen: On the Power of Learning Robustly. COLT 1998: 187-197
80EEJohn Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan: Robust Learning Aided by Context. COLT 1998: 44-55
79EEChu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanjay Jain: Implementations of Dispatch Rules in Parallel Manufacturing Simulation. Winter Simulation Conference 1998: 1591-1598
78 Sanjay Jain, Arun Sharma: Generalization and Specialization Strategies for Learning r.e. Languages. Ann. Math. Artif. Intell. 23(1-2): 1-26 (1998)
77 Sanjay Jain: Minimal Concept Identification and Reliability. Int. J. Found. Comput. Sci. 9(3): 315-320 (1998)
76 Sanjay Jain: Learning with Refutation. J. Comput. Syst. Sci. 57(3): 356-365 (1998)
1997
75 Hon Wai Leong, Hiroshi Imai, Sanjay Jain: Algorithms and Computation, 8th International Symposium, ISAAC '97, Singapore, December 17-19, 1997, Proceedings Springer 1997
74 John Case, Sanjay Jain, Arun Sharma: Synthesizing Noise-Tolerant Language Learners. ALT 1997: 228-243
73 Sanjay Jain, Steffen Lange, Jochen Nessel: Learning of R.E. Languages from Good Examples. ALT 1997: 32-47
72 John Case, Sanjay Jain, Mandayam Suraj: Control Structures in Hypothesis Spaces: The Influence on Learning. EuroCOLT 1997: 286-300
71 Andris Ambainis, Sanjay Jain, Arun Sharma: Ordinal Mind Change Complexity of Language Identification. EuroCOLT 1997: 301-315
70EESanjay Jain, Stephen Chan: Experiences with Backward Simulation Based Approach for Lot Release Planning. Winter Simulation Conference 1997: 773-780
69 Sanjay Jain, Arun Sharma: Characterizing Language Identification in Terms of Computable Numberings. Ann. Pure Appl. Logic 84(1): 51-72 (1997)
68 Sanjay Jain, Arun Sharma: Elementary Formal Dystems, Intrinsic Complexity, and Procrastination. Inf. Comput. 132(1): 65-84 (1997)
67 Sanjay Jain: Strong monotonic and set-driven inductive inference. J. Exp. Theor. Artif. Intell. 9(1): 137-143 (1997)
66 Sanjay Jain, Arun Sharma: The Structure of Intrinsic Complexity of Learning. J. Symb. Log. 62(4): 1187-1201 (1997)
65 Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. SIAM J. Comput. 26(4): 961-990 (1997)
64EERusins Freivalds, Sanjay Jain: Kolmogorov Numberings and Minimal Identification. Theor. Comput. Sci. 188(1-2): 175-194 (1997)
1996
63 Sanjay Jain, Efim B. Kinber, Rolf Wiehagen: On Learning and Co-learning of Minimal Programs. ALT 1996: 242-255
62 John Case, Sanjay Jain, Frank Stephan: Vacillatory and BC Learning on Noisy Data. ALT 1996: 285-298
61EEGanesh Baliga, John Case, Sanjay Jain: Synthesizing Enumeration Techniques for Language Learning. COLT 1996: 169-180
60EESanjay Jain, Arun Sharma: Elementary Formal Systems, Intrinsic Complexity, and Procrastination. COLT 1996: 181-192
59 Sanjay Jain, Arun Sharma: Team Learning of Recursive Languages. PRICAI 1996: 324-335
58 John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Changes in Hypothesis Size. Inf. Comput. 128(2): 73-86 (1996)
57 Sanjay Jain, Arun Sharma: Computational Limits on Team Identification of Languages. Inf. Comput. 130(1): 19-60 (1996)
56 Sanjay Jain, Arun Sharma: The Intrinsic Complexity of Language Identification. J. Comput. Syst. Sci. 52(3): 393-402 (1996)
55 Sanjay Jain: Program Synthesis in the Presence of Infinite Number of Inaccuracies. J. Comput. Syst. Sci. 53(3): 583-591 (1996)
54EEMark A. Fulk, Sanjay Jain: Learning in the Presence of Inaccurate Information. Theor. Comput. Sci. 161(1&2): 235-261 (1996)
53EEJohn Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness. Theor. Comput. Sci. 164(1&2): 13-28 (1996)
1995
52 John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Paradigm Shifts. ALT 1995: 153-168
51 Sanjay Jain, Arun Sharma: The structure of intrinsic complexity of learning. EuroCOLT 1995: 169-181
50 Rusins Freivalds, Sanjay Jain: Kolmogorov numberings and minimal identification. EuroCOLT 1995: 182-195
49 Sanjay Jain: Branch and Bound on the Network Model. FSTTCS 1995: 11-21
48 Sanjay Jain, Arun Sharma: On Identification by Teams and Probabilistic Machines. GOSLER Final Report 1995: 108-145
47 John Case, Mandayam Suraj, Sanjay Jain: Not-So-Nearly-Minimal-Size Program Inference. GOSLER Final Report 1995: 76-95
46 John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification Inf. Comput. 116(2): 174-192 (1995)
45 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)
44EESanjay Jain: On a Question About Learning Nearly Minimal Programs. Inf. Process. Lett. 53(1): 1-4 (1995)
43 Sanjay Jain: An Infinite Class of Functions Identifiable Using Minimal Programs in all Kolmogorov Numberings. Int. J. Found. Comput. Sci. 6(1): 89-94 (1995)
42 Ganesh Baliga, John Case, Sanjay Jain: Language Learning with Some Negative Information. J. Comput. Syst. Sci. 51(2): 273-285 (1995)
41 Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification. Mathematical Systems Theory 28(3): 267-279 (1995)
40EESanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. Theor. Comput. Sci. 137(1): 85-108 (1995)
1994
39 Sanjay Jain: Program Synthesis in the Presence of Infinite Number of Inaccuracies. AII/ALT 1994: 333-348
38 Sanjay Jain, Arun Sharma: On Monotonic Strategies for Learning r.e. Languages. AII/ALT 1994: 349-364
37EESanjay Jain, Arun Sharma: On the Intrinsic Complexity of Language Identification. COLT 1994: 278-286
36 Chee-Kong Chui, Sanjay Jain, Raghu Raghavan: Topology Independent Models for Parallel Computation. Parcella 1994: 119-129
35 Lance Fortnow, William I. Gasarch, Sanjay Jain, Efim B. Kinber, Martin Kummer, Stuart A. Kurtz, Mark Pleszkovich, Theodore A. Slaman, Robert Solovay, Frank Stephan: Extremes in the Degrees of Inferability. Ann. Pure Appl. Logic 66(3): 231-276 (1994)
34 Mark A. Fulk, Sanjay Jain: Approximate Inference and Scientific Method Inf. Comput. 114(2): 179-191 (1994)
33 Sanjay Jain, Arun Sharma: Characterizing Language Identification by Standardizing Operations. J. Comput. Syst. Sci. 49(1): 96-107 (1994)
32 John Case, Sanjay Jain, Arun Sharma: Vacillatory Learning of Nearly Minimal Size Grammars. J. Comput. Syst. Sci. 49(2): 189-207 (1994)
31 Mark A. Fulk, Sanjay Jain, Daniel N. Osherson: Open Problems in "Systems That Learn". J. Comput. Syst. Sci. 49(3): 589-604 (1994)
30 Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj: Machine Learning of Higher-Order Programs. J. Symb. Log. 59(2): 486-500 (1994)
29 Sanjay Jain, Arun Sharma: Program Size Restrictions in Computational Learning. Theor. Comput. Sci. 127(2): 351-386 (1994)
1993
28 Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. ALT 1993: 150-163
27EESanjay Jain, Arun Sharma: Probability is More Powerful Than Team for Language Identification from Positive Data. COLT 1993: 192-198
26 Ganesh Baliga, John Case, Sanjay Jain: Language Learning With Some Negative Information. STACS 1993: 672-681
25 Sanjay Jain, Arun Sharma: Learning with the Knowledge of an Upper Bound on Program Size Inf. Comput. 102(1): 118-166 (1993)
24 Sanjay Jain, Arun Sharma: On the Non-Existence of Maximal Inference Degrees for Language Identification. Inf. Process. Lett. 47(2): 81-88 (1993)
23 Lane A. Hemaspaandra, Sanjay Jain, Nikolai K. Vereshchagin: Banishing Robust Turing Completeness. Int. J. Found. Comput. Sci. 4(3): 245-265 (1993)
1992
22 Ganesh Baliga, Sanjay Jain, Arun Sharma: Learning from Multiple Sources of Inaccurate Data. AII 1992: 108-128
21 John Case, Keh-Jiann Chen, Sanjay Jain: Strong Separation of Learning Classes. AII 1992: 129-139
20 Sanjay Jain, Arun Sharma: Prudence in Vacillatory Language Identification (Extended Abstract). ALT 1992: 159-168
19EEJohn Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. COLT 1992: 193-202
18 Lane A. Hemachandra, Sanjay Jain, Nikolai K. Vereshchagin: Banishing Robust Turing Completeness. LFCS 1992: 186-197
17 Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj: Machine Learning of Higher Order Programs. LFCS 1992: 9-20
16 John Case, Sanjay Jain, Arun Sharma: On Learning Limiting Programs. Int. J. Found. Comput. Sci. 3(1): 93-115 (1992)
15 John Case, Keh-Jiann Chen, Sanjay Jain: Strong separation of learning classes. J. Exp. Theor. Artif. Intell. 4(4): 281-293 (1992)
1991
14 John Case, Sanjay Jain, Arun Sharma: Complexity Issues for Vacillatory Function Identification. FSTTCS 1991: 121-140
13 Sanjay Jain, Arun Sharma: Learning in the Presence of Partial Explanations Inf. Comput. 95(2): 162-191 (1991)
12 Lane A. Hemachandra, Sanjay Jain: On the Limitations of Locally Robust Positive Reductions. Int. J. Found. Comput. Sci. 2(3): 237-255 (1991)
1990
11 Mark A. Fulk, Sanjay Jain: Approximate Inference and Scientific Method. ALT 1990: 256-265
10 John Case, Sanjay Jain, Arun Sharma: Anomalous Learning Helps Succinctness (Extended Abstract). ALT 1990: 282-288
9EESanjay Jain, Arun Sharma: Finite Learning by a ``Team''. COLT 1990: 163-177
8 Sanjay Jain, Arun Sharma: Language Learning by a "Team" (Extended Abstract). ICALP 1990: 153-166
7 Sanjay Jain, Arun Sharma: Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher. TARK 1990: 225-239
6 Sanjay Jain, Karon Barber, David Osterfeld: Expert Simulation for On-Line Scheduling. Commun. ACM 33(10): 54-60 (1990)
1989
5EEMark A. Fulk, Sanjay Jain: Learning in the Presence of Inaccurate Information. COLT 1989: 175-188
4EESanjay Jain, Arun Sharma, John Case: Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. COLT 1989: 189-199
3 Lane A. Hemachandra, Sanjay Jain: On the Limitations of Locally Robust Positive Reductions. FSTTCS 1989: 193-203
2EESanjay Jain, Karon Barber, David Osterfeld: Expert simulation for on-line scheduling. Winter Simulation Conference 1989: 930-935
1987
1 Thomas J. LeBlanc, Sanjay Jain: Crowd Control: Coordinating Processes in Parallel. ICPP 1987: 81-84

Coauthor Index

1Andris Ambainis [71] [85]
2Hiroki Arimura [103] [148]
3Ganesh Baliga [17] [22] [26] [30] [42] [61] [65] [89]
4Jerry Banks [124]
5Karon Barber [2] [6]
6Leonor Becerra-Bonache [199]
7Stephen J. Buckley [124]
8Wentong Cai [90] [100] [101]
9Lorenzo Carlucci [152] [155] [161] [169] [180] [186] [194]
10John Case [4] [10] [14] [15] [16] [17] [19] [21] [26] [30] [32] [42] [46] [47] [52] [53] [58] [61] [62] [72] [74] [80] [83] [84] [88] [89] [93] [98] [99] [104] [105] [107] [112] [117] [123] [134] [135] [136] [138] [142] [143] [145] [149] [155] [159] [160] [164] [169] [180] [186] [194] [199]
11Stephen Chan [70]
12Keh-Jiann Chen [15] [21] [93] [107] [135] [164]
13Ngai Fong Choong [125]
14Chee-Kong Chui [36]
15Lisa M. Collins [114] [115]
16Andreas Craens [181]
17Eric C. Ervin [114] [115]
18Lance Fortnow [35]
19Rusins Freivalds [50] [64]
20Mark A. Fulk [5] [11] [31] [34] [54]
21Boon-Ping Gan [79] [90] [91] [100] [101]
22William I. Gasarch [35]
23Varun Giri [163]
24Lane A. Hemaspaandra (Lane A. Hemachandra) [3] [12] [18] [23]
25Wen-Jing Hsu [90] [100] [101]
26Shell-Ying Huang [90] [101]
27Hiroshi Imai [75]
28Susanne Kaufmann [83] [104]
29Deogratias Kibira [181]
30Efim B. Kinber [35] [63] [97] [102] [111] [116] [118] [127] [128] [130] [133] [139] [146] [147] [152] [154] [161] [162] [168] [171] [172] [173] [174] [178] [189] [190] [193]
31Sandeep Krishna [163]
32Martin Kummer [35]
33Stuart A. Kurtz [35]
34Steffen Lange [73] [88] [97] [106] [156] [170] [175] [179]
35Andrew P. Lathrop [114] [115]
36Thomas J. LeBlanc [1]
37William G. K. Lee [125]
38Y. Tina Lee [182] [183]
39Peter Lendermann [124]
40Hon Wai Leong (Hon-Wai Leong) [75]
41Swee Leong [151]
42Lingrui Liao [201]
43Chu-Cheow Lim [79] [90] [91]
44Li Liu [100]
45Malcolm Yoke-Hean Low (Yoke-Hean Low) [79] [90] [91] [101]
46Mani S. Manivannan [124]
47Eric Martin [142] [145] [153] [160] [184] [191]
48Charles McLean [132] [182]
49Charles R. McLean [150] [165] [183]
50Wolfram Menzel [126] [140]
51Wolfgang Merkle [135] [164]
52Franco Montagna [134] [149]
53Balaji Nagarajan [201]
54Ye Nan [188] [196] [200]
55Jochen Nessel [73] [106] [109] [166] [176]
56Yen Kaow Ng [119] [177]
57Daniel N. Osherson [31]
58David Osterfeld [2] [6]
59Matthias Ott [80] [99]
60Christophe Papazian [130]
61Mark Pleszkovich [35]
62Raghu Raghavan [36]
63Nandula Raghuram [163]
64Rüdiger Reischuk [136] [143] [159]
65Frank Riddick [181] [182]
66James S. Royer [135] [164]
67Areejit Samal [163]
68Subhash C. Sarin [201]
69Arun Sharma [4] [7] [8] [9] [10] [13] [14] [16] [19] [20] [22] [24] [25] [27] [28] [29] [32] [33] [37] [38] [40] [41] [45] [46] [48] [51] [52] [53] [56] [57] [58] [59] [60] [65] [66] [68] [69] [71] [74] [78] [80] [83] [85] [94] [95] [96] [99] [103] [104] [105] [122] [142] [145] [160]
70Giulia Simi [134] [149]
71Hans-Ulrich Simon [157] [158]
72Shalini Singh [163]
73Theodore A. Slaman [35]
74Carl H. Smith [81] [113] [130]
75Robert Solovay [35]
76Andrea Sorbi [134] [149]
77Frank Stephan [35] [62] [80] [83] [98] [99] [104] [117] [120] [121] [126] [129] [136] [137] [138] [140] [141] [142] [143] [145] [152] [153] [155] [159] [160] [161] [166] [167] [169] [176] [180] [184] [185] [187] [188] [191] [192] [194] [195] [196] [198] [199] [200]
78Mandayam Suraj [17] [30] [47] [72] [123]
79Tiong Seng Tay [119] [177]
80Sebastiaan Terwijn [141]
81Etsuji Tomita [157] [158]
82Stephen John Turner [100] [101]
83Mahendran Velauthapillai [45]
84Nikolai K. Vereshchagin [18] [23]
85Rolf Wiehagen [63] [81] [97] [102] [111] [113] [117] [118] [127] [130] [133] [138] [139]
86Russell W. Workman [114] [115]
87Thomas Zeugmann [88] [97] [118] [127] [136] [143] [159]
88Sandra Zilles [156] [170] [175] [179]

Colors in the list of coauthors

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