Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
The paper describes a novel computational tool for multiple concept learning. Unlike previous approaches, whose major goal is prediction on unseen instances rather than the legibi...
A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how...
In determining an electronic workflow system, a financial services firm utilized simulation to determine the necessary capital expenditure. Analysis included batching options, Ser...
As part of an ABB training program, two manufacturing engineers introduced a manufacturing facility to the benefits of modeling and simulation. The project goal was to evaluate a ...