Titlebook: Microcomputers and Laboratory Instrumentation; David J. Malcolme-Lawes Book 1984 Springer Science+Business Media New York 1984 Laboratory.

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System Design, more versatile than most items of instrumentation because it is programmable. In designing any experimental system a number of logical processes are (or should be) involved and in this chapter we discuss those processes in some detail, because the value of the resulting system depends largely on th

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David J. Malcolme-Lawesout the same position as Information Retrieval and Machine Translation, both of which are widely used commercially. There is also a clear range of practical applications that would be eased by the sort of template-style data that IE provides. The problem for wider deployment of the technology is ada

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David J. Malcolme-Laweslopment. This need is even stronger for the acquisition of control knowledge (heuristics) that transform an application in an efficient application. Inductive Logic Programming (ILP) has proven successful in a wide variety of domains, ranging from drugs design to logic programs synthesis. The majori

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David J. Malcolme-Lawes way of recording the actions and their effects. These could later be used for Automatic Programming purposes. A brute force approach to representing the situations involves recording the value of all the available variables. This is a combinatorial problem, and becomes unmanageable when the number

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David J. Malcolme-Lawesn trees is finding the right criteria for splitting the training set into smaller and smaller subsets so that, ideally, all elements of a subset finally belong to one class. These split criteria can be defined in different ways (e.g. minimizing impurity of a subset, or minimizing entropy in a subset

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David J. Malcolme-Lawestional Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000, together with an invited keynote paper by Professor Austin Tate. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Ap

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