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- V Seshadri, B J West
- Proceedings of the National Academy of Sciences…
- 1982

We determine the fractal dimensionality D of the trajectories of a class of translationally invariant Markov processes. We also provide two simple operational measures to estimate D.

- Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss
- IEEE Expert
- 1996

depend on computer-processed transactions. As the computer’s role becomes more pervasive, businesses are attempting to warehouse huge volumes of historical data with the expectation of mining it for knowledge. These businesses hope to determine trends and patterns that could improve their organization’s effectiveness, efficiency, and prospects. A… (More)

- V. Seshadri, David B. Wortman, Michael D. Junkin, S. Weber, C. P. Yu, I. Small
- PLDI
- 1988

Traditional compilers are usually sequential programs that serially process source programs through lexical analysis, syntax analysis, semantic analysis and code generation. The availability of multiprocessor computers has made it feasible to consider alternatives to this serial compilation process. The authors are currently engaged in a project to devise… (More)

Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerical features, or possibly numerical codes. In addition, for classification, a clear goal for learning must be specified. While some databases may readily be arranged in standard… (More)

- V. Seshadri, David B. Wortman
- Softw., Pract. Exper.
- 1991

Concurrency is an attractive method for reducing the execution time of compilers. By dividing source programs into segments which can be compiled concurrently, the task of compiling programs can be accelerated. Many of the difficult problems which arise when constructing a concurrent compiler occur in the implementation of the semantic analyser. This paper… (More)

- Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss
- KDD Workshop
- 1994

A new approach to proactively maintain a massively interconnected communications network is described. Tl’fis approach has been applied to the detection and prediction of chronic transmission faults in AT&T’s digital communications network. A windowing technique was applied to large volumes of diagnostic data, and these data were analyzed by machine… (More)

- Prasanna Hariharan, V. Seshadri, Rupak K. Banerjee
- Mathematical and Computer Modelling
- 2008

The present study investigates the peristaltic transport of non-Newtonian fluid, modeled as power law and Bingham fluid, in a diverging tube with different wall wave forms: sinusoidal, multi-sinusoidal, triangular, trapezoidal and square waves. Fourier series is employed to get the expressions for temporal and spatial dependent wall shapes. Solutions for… (More)

- Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss
- Applied Intelligence
- 1994

We consider the application of several compute-intensive classification techniques to two significant real-world applications: disk drive manufacturing quality control and the prediction of chronic problems in large-scale communication networks. These applications are characterized by very high dimensions, with hundreds of features or tens of thousands of… (More)

- V. Seshadri
- IEEE Trans. Systems, Man, and Cybernetics
- 1980

- V. Seshadri
- IEEE Expert
- 1996