We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...
Chemical computing models have been proposed since the 1980ies for expressing concurrent computations in elegant ways for shared memory systems. In this paper we look at the distri...
Thomas Meyer, Lidia Yamamoto, Christian F. Tschudi...
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Reliable DNA computing requires a large pool of oligonucleotides that do not produce cross-hybridize. In this paper, we present a transformed algorithm to calculate the maximum wei...
Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J....