While the MTL and L 21 norm regularized MTL performs well with ideal data, the data may not always be represented ideally using a single structure.
For researchers like Belongie, however, it's an ideal data set for advancing object detection and segmentation algorithms.
It gave Avastin "accelerated" approval, which allows drugs for life-threatening diseases to reach the market on the basis of less than ideal data, subject to further study.
This would let a device work at 95-99% of its ideal data rate at any given time.
In both cases, the ideal data structure should capture these additional dimensions flexibly and precisely while preserving the intuitive simplicity of the original SWC format.
The paper discusses challenges in implementing the Empirical Bayes design when less than ideal data are available.
Ideal data is taken for simplicity in an introductory example, but in the second example practical measurements from a steel cantilever are used.
Based on the equilibrium mechanism, three possible ideal data patterns are identified and the corresponding best curve fitting approaches are proposed.
The software generator reads from the detailed Dutch road network database, which is an ideal data source containing all the necessary information of road segments.
The numerical results are smaller than the ideal data with the maximum error of about 8.69% in the whole computed gas Mach number from 1.15 to 1.87.
An alternative procedure that produces the same results with ideal data is to "deflate" current values of the various items produced by index numbers that reflect relative price changes in order to eliminate the effects of price changes.
