The design of an implemented electronic version of the recommendation architecture is described, and it is demonstrated that the system can heuristically define its own functionality, and learn without disrupting earlier learning.
And it is demonstrated with enchanting results in a show that demolishes the cliché of Japanese art as inherently minimalist.
The performance of this correlation is examined and it is demonstrated to provide accurate prediction.
Potential applications for the mechanism are discussed and it is demonstrated as a component of a statically balanced system.
Extensive experiments are conducted to evaluate the proposed approach and it is demonstrated that the EDUA is efficient.
Finally, a prototype of the parallel manipulator is manufactured and it is demonstrated that it is capable of performing autonomous sun tracking with the above mentioned advantages.
All possible numbers of curvature extrema are found and it is demonstrated that all possible curvature extrema can be obtained numerically for any planar parametric cubic curve.
The iterative scheme is used to develop a model for the caspase function in apoptosis and it is demonstrated that model performance improves with each iteration.
In this paper a methodology is presented to reduce waste generation through process modifications and it is demonstrated through an example.
The general theory is applied to autoregressive and moving-average models of the first order, and it is demonstrated using real genomic data.
The accuracy of the hyperbolic tangent correlation is characterized and regimes of relative lower accuracy identified, and it is demonstrated to be sufficiently accurate for engineering applications.
