Titlebook: Biocomputing; Panos M. Pardalos,Jose Principe Book 20021st edition Kluwer Academic Publishers 2002 algorithms.approximation algorithm.calc

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Design in der Natur und nach der Naturectroencephalograph data analysis. Special machine learning algorithm and signal processing methods are used. The algorithm is tested on real data of epileptic and healthy persons that are treated in Neurology Clinics, Kaunas Medical University, Lithuania. The detailed examination of results shows t

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Biocomputing978-1-4613-0259-9Series ISSN 1571-4861

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Self-Organizing Maps,ze similar data sets. In this study, simultaneous multichannel recording from guinea pig auditory cortex is examined using the SOM to assess the effectiveness and potential of the SOM in neurophysiological studies.

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A Simple Approximation Algorithm for Nonoverlapping Local Alignments (Weighted Independent Sets of ependent provided for each axis, the projection of one rectangle does not overlap that of another. We use the two-phase technique of [3] to provide a simple approximation algorithm for this problem that runs in .(. log .) time with a worst-case performance ratio of 3. We also discuss extension and analysis of the algorithm in . dimensions.

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,17 Wege zur Kreativität — Ein Überblick, biopsy needle, we obtain estimates for the probability of obtaining a positive biopsy in various zones of prostates with cancer. Using this we develop a nonlinear optimization problem that determines the protocols that maximize the probability of cancer detection for a given number of needles, and present new optimized protocols.

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https://doi.org/10.1007/978-3-642-60292-4ethod for calculating the brain activation map that makes no assumptions about the data distribution (e.g., Gaussian distribution). Results are also shown based on data of visual task study of subjects.

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