We describe the results of performing data mining on a challenging medical diagnosis domain, acute abdominal pain. This domain is well known to be difficult, yielding little more than 60% predictive accuracy for most ...
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The effects of different sampling strategies for age and growth studies and for the estimation of growth parameters from size-at-age data were investigated using simulated age-structured populations of two fish specie...
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The effects of different sampling strategies for age and growth studies and for the estimation of growth parameters from size-at-age data were investigated using simulated age-structured populations of two fish species representing different life history characteristics. One species type was a small pelagic with relatively fast growth, small size, high mortality, low longevity and is representative of r-strategists. The second case was a K-strategist (lutjanid/sparid) type with relatively larger size, slower growth, greater longevity and lower mortality. Three different sampling strategies were evaluated: (1) simple random sampling;(2) proportional allocation;(3) fixed allocation. Overall, there is no best sampling strategy in all situations. Proportional allocation tends to show smaller parameter variability. Overall, there seems to be no advantage in fixed allocation in relation to proportional allocation or even simple random sampling.
DOMUS is a project of the computerscience Department of UNICAMP, Brazil, for the development of a GIS for environmental control applications using an object oriented database. This project involves experts from diffe...
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It has been proposed that syntactical information be used as an aid in error detection, location, and correction. In the present paper the minimum distance syntactical decoding algorithm of Souza and Scholtz is improv...
This paper presents a dual-mode decentralized scheme for controlling the flow of a commodity through a network. In the first mode, the local controllers, which are located at the nodes of the network, exchange some si...
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This paper presents a dual-mode decentralized scheme for controlling the flow of a commodity through a network. In the first mode, the local controllers, which are located at the nodes of the network, exchange some simple messages with their neighbors and determine the local optimum flows. In the second mode, the local controllers adjust their flows to achieve the optimum steady-state conditions in finite time.
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