The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
— The paper deals with designing fault tolerant finite state machines (FSMs) by nanoelectronic programmable logic arrays (PLAs). Two main critical parameters of the fault toleran...
Samary Baranov, Ilya Levin, Osnat Keren, Mark G. K...
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Background: Previous studies on insect DNA barcoding provide contradictory results and suggest not consistent performances across orders. This work aims at providing a general eva...
Massimiliano Virgilio, Thierry Backeljau, Bruno Ne...
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...