Titlebook: Learning from Good and Bad Data; Philip D. Laird Book 1988 Kluwer Academic Publishers 1988 algorithms.behavior.classification.inductive bi

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Philip D. Lairdes in anisotropic solids and/or electro-, magneto- interaction problems also regained much attention recently.Topics treated include: Waves in piezoelectric crystals; Simulation of advanced BAW and SAW devices; Analysis of band gaps in phononic structures; Experimental investigation of phononic stru

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Book 1988plain learning behavior. Then construct machine programs to test and illustrate these models. xi Xll PREFACE • Formulate a mathematical theory to capture key features of the induction process. This work belongs to the third category. The various studies of learning utilize training examples (data) i

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0893-3405 ositive and negative examples. This problem is considered to be an important component of the process of inductive learning, and as such has been studied extensively. In the overview we shall explain the objectives of this work and its place in the overall fabric of learning research. Context. Learn

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How to Work With Refinementsnts in more sophisticated ways. The paradigmatic situation is that we are faced with constructing an identification program on an unfamiliar domain. Armed with the ideas of the previous chapter, we should

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Philip D. Lairdde. Quite a few important results on the modeling and simulation of Film Bulk Acoustic Resonator (FBAR) and Layered SAW devices were reported recently. The other recent advance of acoustic waves in solids is the so-called phononic crystals or phononic band-gap materials. Analogous to the band-gap of