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Titlebook: Microcomputers in Medicine; P. D. Coleridge Smith (Senior Lecturer in Surgical Conference proceedings 1988 Springer-Verlag Berlin Heidelbe

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11#
發(fā)表于 2025-3-23 10:20:36 | 只看該作者
P. R. Edwards,J. R. Coughlan,M. J. Taylor,W. A. Corbettsignificant effect on the performance of genetic search. In this paper, a statistics-based adaptive non-uniform mutation (SANUM) is presented within which the probability that each gene will subject to mutation is learnt adaptively over time and over the loci. As a search algorithm based on mechanis
12#
發(fā)表于 2025-3-23 16:01:12 | 只看該作者
A Generalised Approach to Clinical Audit, Patient Management and Research,out of a team of computer professionals built up around the automation of diagnostic laboratory data management. In recent years the team has been augmented by the complementary infusion of clinicians who have trained in computing skills within the Unit under the sponsorship of the Scottish Home and
13#
發(fā)表于 2025-3-23 20:22:36 | 只看該作者
Incorporating a Microcomputer in the Surgical Office,it. Having accurate and complete data available makes it easier to produce convincing arguments and to defend a budget. This is an area where computers should be of value but there are very few hospitals where a computerised system is used. This is largely due to a lack of software which is easy to
14#
發(fā)表于 2025-3-24 02:02:41 | 只看該作者
Surgical Audit Using dBaseII,r emphasis will be given to the way in which data were collected, the form in which they were stored and the presentation of subsequent analyses. Since there are many readily available publications covering the theory of computer programming the finer details of the programming involved will not be
15#
發(fā)表于 2025-3-24 04:05:53 | 只看該作者
16#
發(fā)表于 2025-3-24 10:23:04 | 只看該作者
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發(fā)表于 2025-3-24 14:11:31 | 只看該作者
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發(fā)表于 2025-3-24 15:35:31 | 只看該作者
19#
發(fā)表于 2025-3-24 22:00:56 | 只看該作者
N. Wynne-Carter,M. A. Walker,D. Bryce,J. L. Shearerrent sizes (from 200 to 20,000 tuples). The tests have shown that the two popular functions are very sensitive to the variation of the training set sizes and therefore the quality of the inferred trees is highly dependent on the training set size. At the same time however, we were able to show that
20#
發(fā)表于 2025-3-24 23:54:25 | 只看該作者
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