Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Radial Basis Function Networks"
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Superscalar Processor Models Using Statistical Learning
(2009-06-24)Processor architectures are becoming increasingly complex and hence architects have to evaluate a large design space consisting of several parameters, each with a number of potential settings. In order to assist in guiding ...