4,948 research outputs found

    Feature selection for chemical sensor arrays using mutual information

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    We address the problem of feature selection for classifying a diverse set of chemicals using an array of metal oxide sensors. Our aim is to evaluate a filter approach to feature selection with reference to previous work, which used a wrapper approach on the same data set, and established best features and upper bounds on classification performance. We selected feature sets that exhibit the maximal mutual information with the identity of the chemicals. The selected features closely match those found to perform well in the previous study using a wrapper approach to conduct an exhaustive search of all permitted feature combinations. By comparing the classification performance of support vector machines (using features selected by mutual information) with the performance observed in the previous study, we found that while our approach does not always give the maximum possible classification performance, it always selects features that achieve classification performance approaching the optimum obtained by exhaustive search. We performed further classification using the selected feature set with some common classifiers and found that, for the selected features, Bayesian Networks gave the best performance. Finally, we compared the observed classification performances with the performance of classifiers using randomly selected features. We found that the selected features consistently outperformed randomly selected features for all tested classifiers. The mutual information filter approach is therefore a computationally efficient method for selecting near optimal features for chemical sensor arrays

    Drug-Related Cardiotoxicity for the Treatment of Haematological Malignancies in Elderly.

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    Meyer Paul Hugo. Diderot oder die Ambivalenz der Aufklärung, Neumann, 1987. In: Recherches sur Diderot et sur l'Encyclopédie, n°4, 1988. pp. 164-165

    Multiregional Satellite Precipitation Products Evaluation over Complex Terrain

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    An extensive evaluation of nine global-scale high-resolution satellite-based rainfall (SBR) products is performed using a minimum of 6 years (within the period of 2000-13) of reference rainfall data derived from rain gauge networks in nine mountainous regions across the globe. The SBR products are compared to a recently released global reanalysis dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF). The study areas include the eastern Italian Alps, the Swiss Alps, the western Black Sea of Turkey, the French Cévennes, the Peruvian Andes, the Colombian Andes, the Himalayas over Nepal, the Blue Nile in East Africa, Taiwan, and the U.S. Rocky Mountains. Evaluation is performed at annual, monthly, and daily time scales and 0.25° spatial resolution. The SBR datasets are based on the following retrieval algorithms: Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis (TMPA), the NOAA/Climate Prediction Center morphing technique (CMORPH), Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN), and Global Satellite Mapping of Precipitation (GSMaP). SBR products are categorized into those that include gauge adjustment versus unadjusted. Results show that performance of SBR is highly dependent on the rainfall variability. Many SBR products usually underestimate wet season and overestimate dry season precipitation. The performance of gauge adjustment to the SBR products varies by region and depends greatly on the representativeness of the rain gauge network

    Fermions scattering in a three dimensional extreme black hole background

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    The absorption cross section for scattering of fermions off an extreme BTZ black hole is calculated. It is shown that, as in the case of scalar particles, an extreme BTZ black hole exhibits a vanishing absorption cross section, which is consistent with the vanishing entropy of such object. Additionally, we give a general argument to prove that the particle flux near the horizon is zero. Finally we show that the {\it reciprocal space} introduced previously in \cite{gm} gives rise to the same result and, therefore, it could be considered as the space where the scattering process takes place in an AdS spacetime.Comment: 15 pages, RevTex4. Revised version. To be published in Class. Quantum. Gra

    Armonización de criterios de calidad modelos SINEACE de Perú – CNA de Colombia, autoevaluación del doctorado en ciencias de la educación universidad de Cartagena de indias Colombia y universidad nacional Daniel Alcides Carrión Perú, 2017 -2019

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    The objective of this paper was to determine the convergence of quality criteria in the evaluation models SINEACE (Peru) and CNA (Colombia), of the Doctorate in Educational Sciences. The methodology em-ployed was descriptive, establishing the affinity of applied questionnaires. We found that the programs and curricular plan reflect different percentages of the fulfillment of factors and standards of evaluation, consoli-dated with valid criteria. Therefore, we concluded that there is convergence in the SINEACE and CNA models of the Doctoral Programs in Education Sciences: the SINEACE has a 75% compliance, and the CNA model a 98% compliance, thus demonstrating that the two models harmonize and converge on quality standardsEl objetivo de este artículo fue determinar la convergencia de criterios de calidad de los modelos de evaluación SINEACE Perú y CNA Colombia, del Doctorado en Ciencias de la Educación. La metodología empleada fue descriptiva, estableciendo la afinidad de cuestionarios aplicados. Encontramos que los programas y plan curricular reflejan diferentes porcentajes de cumplimiento de factores y estándares de evaluación, consolidados con criterios válidos. Llegamos así a la conclusión de que existe una convergencia en los modelos SINEACE y CNA de los Programas de Doctorado en Ciencias de la Educación: el SINEACE tiene un 75% de cumplimiento y el modelo CNA, un 98% de cumplimiento, lo que demuestra que los dos modelos armonizan y convergen en estándares de calidad

    First results from a multiplexed and massive instrument with sub-electron noise Skipper-CCDs

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    We present a new instrument composed of a large number of sub-electron noise Skipper-CCDs operated with a two stage analog multiplexed readout scheme suitable for scaling to thousands of channels. New, thick, 1.351.35 Mpix sensors, from a new foundry, are glued into a Multi-Chip Module (MCM) printed circuit board on a ceramic substrate which has 16 sensors each. The instrument, that can hold up-to 16 MCMs, a total of 256 Skipper-CCD sensors (called a Super-Module with ≈130\approx 130 grams of active mass and 346346 Mpix), is part of the R&\&D effort of the OSCURA experiment which will have ≈94\approx 94 super-modules. Experimental results with 1010 MCMs and 160160 Skipper-CCDs sensors are presented in this paper. This is already the largest ever build instrument with single electron sensitivity CCDs using nondestructive readout, both, in terms of active mass and number of channels.Comment: Corrected minor typo
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