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Algorithm 1 requires the a priori selection of a threshold, s, on the empirical risk, /en,p( X which will indicate whether the model needs adaptation to retain its accuracy, with respect to the data, at a minimum acceptable level. At the same time, this threshold will serve as a termination criterion for the adaptation of the approximating function. When (and if) a model is reached so that the generalization error is smaller than e, learning will have concluded. For that reason, and since, as shown earlier, some error is unavoidable, the selection of the threshold should reflect our preference on how close and in what sense we would like the model to be with respect to the real function. [Pg.178]

SAS Publishing provides a complete selection of books and electronic products to help customers use SAS software to its fullest potential. For more information about our e-books, e-learning products, CDs, and hardcopy books, visit the SAS Publishing Web site at support.sas.com/pubs or call 1-800-727-3228. [Pg.339]

Pingree, David E. Learned magic in the time of Frederick II. Micrologus 2 (1994) 39- 56. [Pg.285]

Michalski, R. S. Stepp, R. E. "Learning from Observation Conceptual Clustering" In "Machine Learning An Artificial Intelligence Approach" Michalski, R. S. Carbonell, J. G. Mitchell, T. M., Eds. Tioga Press, 1983. [Pg.229]

The brain is really a collection of highly specialized components of enormous anatomical complexity. The brains of different mammals are very different, and the evolutionary changes in the brain are seen primarily as an increase in relative size and in the complexity of cortical folding, thus increasing the area devoted to association (i.e., learning and decision making). A basic schematic illustration of the human brain is shown in figure 4.4. [Pg.198]

Gallup University s seven demands of leadership were noted under essential qualities of leadership (Conchie, 2004). To further monitor your leadership and the leadership of your employees, choose two of the seven demands and develop measures to determine their impact on the organization. Review the results of the measures and make changes and modifications to ensure the organization s success. Other resources available from Gallup include an e-learning... [Pg.237]

Sumper, M., and Brunner, E. "Learning from diatoms Nature s tools for the production of nanostructured silica". Adv. Fund. Mater. 16(1), 17-26 (2006). [Pg.157]

Dr.Veenema s ReadyRN Comprehensive Curriculum for Disaster Nursing and Emergency Preparedness was also published in 2007 as an innovative e-learning online course by Elsevier, and the companion ReadyRN Handbook for Disaster Nursing and Emergency Preparedness will be published in fall 2007. [Pg.658]

Everything wc vc said thus far about NMR spectroscopy uppUea to both H and C spectra, but let s now focus only on C spectra b use they re much easier to interpret. "Wliat vi-e learn now about interpreting C spectra will simplify the subsequent discussion of H spectra. [Pg.503]

As w e learn more about the ocular immunosuppressive environment, the list of immuneomodulatory molecules and factors w ithin aqueous humor continues to grow. ... [Pg.45]

Using the Personalization Hypothesis to Design E-Learning Environments... [Pg.287]

Behavioral modificatiou techuiques or other forms of psychotherapy also may be helpful iu assisting in smoking cessation. Efiograms that address the many issues associated with smoking (i.e., learned behaviors, environmental influences, and chemical dependence) using a team approach are more likely to be successful. The... [Pg.544]


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See also in sourсe #XX -- [ Pg.230 ]




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