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Simon C. K. Shiu is an Assistant Professor in the Department of Computing, Hong Kong Polytechnic University, Hong Kong. He received an M.Sc. degree in computing science from the University of Newcastle Upon Tyne, United Kingdom, in 1985, a M.Sc. degree in business systems analysis and design from City University, London in 1986, and a Ph.D. degree in computing in 1997 from Hong Kong Polytechnic University. Between 1985 and 1990 he worked as a system analyst and project manager in several business organizations in Hong Kong. His current research interests include case-based reasoning, machine learning, and soft computing. He has coguest edited a special issue on soft case-based reasoning for the journal Applied Intelligence. Dr. Shiu is a member of the British Computer Society and the IEEE.

Although a shell script can be a simple sequence of commands, shell scripts can also be used as you would any programming language. For example, a script can produce different results based on giving it different input. This section describes how to use compound commands, such as if/then statements, case statements, and for/while loops in your shell scripts.

together with a set of C++ functions operating on instances of Base and Derived:

The corresponding factory for the Hull White Monte-Carlo model is shown below. The details are almost identical to the factory for the Hull White lattice model. The main differences are that the model argument dictionary is used to control the values of the number of simulations and start seed, and instead of a rollback component being constructed we construct an evolve component. We finis off by constructing an exercise component for the case when the trade is callable.

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We said that the TV set was not digital . The consumer electronics industry is very wary of upsetting customers by introducing dramatic changes to products, that are not obviously of immediate exceptional value, and so the TV set itself will remain unchanged in the medium term. (Not the least because consumers expect to get 10 years life from a TV set, with each household possessing on average two working sets, and purchasing a new set every ve years or so.) If we ignore the relatively few early adopters who may buy sets with integrated digital electronics, the medium term development will be through separate set-top boxes . Set-top boxes (which, perversely, are often located beneath the set) are designed around general purpose PCs, minus, of course, the display and, usually, the keyboard (Figure 3.9). Set-top boxes have initially been designed to receive signals from off-air transmitters, but common designs have been agreed that will also allow the same box to operate with digital cable-TV or telecoms video-ondemand (see page 30). There is also a telephony interface, currently for analogue telephony, but this could be digital. The digital signal is decoded by a special purpose digital decoder chip, under control of the processor. There are a number of standard coding/decoding algorithms for digital

1

The starting point for most practical systems is in trying to extract subject matter from data sources The process of extraction necessarily consists of taking a longer text and reducing it to a shorter one This is done partly to improve processing performance in the stages that follow, but also because extraction in some sense gets at the essence of the document One of the simplest methods relies upon producing a list of individual words used in the text Users who request information on that word can be supplied with all documents which contain that word in their lists The process can be improved, in terms of recall, by stemming: although users request information on dog , the process has a database which extends the term into dogs , lapdogs , gun dog , etc.

Theodore Dalrymple), The Wall Street Journal (February 21, 2002) A-16.

Flowgraph Models for Multistate Time-to-Event Data, By Aparna V. Huzurbazar ISBN 0-471-26514-4 Copyright 2005 John Wiley & Sons, Inc.

Results of roadmapping work WiSeNts Survey Gaps and Current Trends Market Analysis Technology Inhibitors

A simple re nement can be to index documents to nd out how many times each word occurs as a fraction of the total length of the text It is usual to exclude all the very common words such as the , and , is , etc by putting them into a stop-list that is used by the indexing program Thus, given a user request for texts with gas (say) in them, the texts can be listed in descending order of frequency, thus promoting precision But there is more that can be done by pursuing this simple strategy of including word frequency counts: it is possible to describe a text in terms of how this whole list compares with the lists generated for other documents (Figure 218) The document on the left hand side of the gure is one which a user has found to be of interest.

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