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The vast majority of data mining algorithms require the setting of many input parameters. The dangers of working with parameter-laden algorithms are twofold. First, incorrect settings may cause an algorithm to fail in finding the true patterns. Second, a perhaps more insidious problem is that the algorithm may report spurious patterns that do not really(More)
Nanotechnology is the new industrial revolution of the 21st Century as the various processes lead to radical improvements in medicine, manufacturing, energy production, land remediation, information technology and many other everyday products and applications. With this revolution however, there are undoubted concerns for health, safety and the environment(More)
Many poorly water-soluble compounds fail regulatory ready biodegradation tests as the method of test material preparation limits the bioavailability of the chemical. The recognised method for delivery of poorly soluble materials into biodegradability tests consists of coating test material inside the test vessel or onto inert substrates (i.e., glass cover(More)
Xerox offers a bewildering array of printers and software configurations to satisfy the need of production print shops. A configuration tool in the hands of sales analysts elicits requirements from customers and recommends a list of product configurations. This tool generates special question and answer case logs that provide useful historical data. Given(More)
Environmental Impacts Team You may reproduce as many additional copies of this report as you like, provided such copies stipulate that copyright remains with English Nature, Preface This report was drafted prior to the publication of Planning Policy Guidance 17 Open Space, Sport and Recreation and its companion guide. Work is currently underway to test and(More)
Research in transportation frequently involve modelling and predicting attributes of events that occur at regular intervals. The event could be arrival of a bus at a bus stop, the volume of a traffic at a particular point, the demand at a particular bus stop etc. In this work, we propose a specific implementation of probabilistic graphical models to learn(More)
Ridership growth is one of the major goals of public transit agencies across North America. In this paper, we examine a key contributor in potential transit riders' mode choice -- the connectivity of a transit system in time and space. We propose a comprehensive transit connectivity measure from a rider's perspective, synthesizing spatial route design,(More)
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