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17
|
Infinitary Self Reference in Learning Theory
– John Case
- 1994
|
|
11
|
On learning limiting programs
– John Case, Sanjay Jain, Arun Sharma
- 1992
|
|
|
Inductive Inference of ... vs. ...-Definitions for Computable Functions
– John Case, Mandayam Suraj, Ayam Suraj
- 2002
|
|
44
|
The Power of Vacillation in Language Learning
– John Case
- 1992
|
|
2
|
Strong separation of learning classes
– Keh-jiann Chen, Sanjay Jain
- 1992
|
|
29
|
The Structure of Complete Degrees
– Stuart A. Kurtz, Stephen R. Mahaney, James S. Royer
- 1990
|
|
12
|
Complexity issues for vacillatory function identification
– Sanjay Jain, Arun Sharma
- 1995
|
|
3
|
Machine induction without revolutionary changes in hypothesis size
– Sanjay Jain, Arun Sharma
- 1996
|
|
1
|
A Status Report on the P versus NP Question
– Eric Allender
|
|
6
|
Program synthesis in the presence of infinite number of inaccuracies
– Sanjay Jain, Lower Kent Ridge
- 1994
|
|
9
|
Learning in the presence of inaccurate information
– Mark Fulk, Sanjay Jain
- 1989
|
|
6
|
A classification of viruses through recursion theorems
– Guillaume Bonfante, Matthieu Kaczmarek, Jean-yves Marion
- 2007
|
|
7
|
On Aggregating Teams of Learning Machines
– Sanjay Jain, Arun Sharma
- 1994
|
|
4
|
On identification by teams and probabilistic machines
– Sanjay Jain, Arun Sharma
- 1995
|
|
17
|
The intrinsic complexity of language identification
– Sanjay Jain, Arun Sharma
- 1996
|
|
14
|
The structure of intrinsic complexity of learning
– Sanjay Jain, Arun Sharma
- 1997
|
|
4
|
Vacillatory learning of nearly minimal size grammars
– Sanjay Jain, Arun Sharma
- 1994
|
|
16
|
Synthesizing Enumeration Techniques For Language Learning
– Ganesh R. Baliga, John Case, Sanjay Jain
- 1996
|
|
2
|
Learning and Deduction in Neural Networks and Logic
– Ekaterina Komendantskaya
- 2007
|
