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- V. Radhakrishnan, G. Nagaraja
- IEEE Transactions on Systems, Man, andâ€¦
- 1987

A constructive method for the inference of regular grammars from positive sample strings of language using skeletal structure descriptions, is proposed, and polynomial-time algorithms based on theâ€¦ (More)

- V. Radhakrishnan, G. Nagaraja
- Pattern Recognition
- 1988

-A constructive method for the inference of Even Linear Grammars from positive samples is proposed. It is shown through examples that the method correctly infers many languages. The method infers inâ€¦ (More)

- G. Nagaraja, R. P. Jagadeesh Chandra Bose
- Neurocomputing
- 2006

An adaptive algorithm for function minimization based on conjugate gradients for the problem of finding linear discriminant functions in pattern classification is developed. The algorithm convergesâ€¦ (More)

- JosÃ© M. Sempere, G. Nagaraja
- ICGI
- 1998

K e y w o r d s : Formal languages, grammatical inference, characterizable methods, structural information. 1 I n t r o d u c t i o n Linear languages [Ha78] form a language class known to beâ€¦ (More)

- G. Nagaraja, Gopalrao Krishna
- IEEE Transactions on Computers
- 1974

The problem of solving a system of linear inequalities is central to pattern classification where a solution to the system, consistent or not, is required. In this paper, an algorithm is developedâ€¦ (More)

Solution of linear inequalities is known to be a fundamental problem in pattern classification and threshold logic. Inconsistent systems of inequalities arise frequently in pattern classification, inâ€¦ (More)

- J. A. Laxminarayana, JosÃ© M. Sempere, G. Nagaraja
- ICGI
- 2004

was the seventh in a series of successful biennial international conferences in the area of grammatical inference. Previous meetings were held in Essex, U. series of conferences seeks to provide aâ€¦ (More)

- R. P. Jagadeesh Chandra Bose, G. Nagaraja
- Fourth International Conference on Hybridâ€¦
- 2004

Hybrid models combining the analytical (rule-based) and connectionist (artificial neural network (ANN)) paradigms are called knowledge based neural networks (KBNN). The knowledge based artificialâ€¦ (More)

Grammatical inference, an important field of syntactic pattern recognition, is finding wider acceptance in many practical applications like computation biology. In this work we show the use ofâ€¦ (More)

Incremental inference of even linear languages in the limit from positive data is considered. Since it is known that the family of even linear languages is not inferable from positive data, weâ€¦ (More)