Sentence examples for supervised derived from inspiring English sources

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He showed that in almost every supervised derived signature a large subset of genes involved in proliferation is included (Perou et al, 1999; Dai et al, 2005; Sotiriou et al, 2006).

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Recently, Fan et al (2006) compared the performance of several supervised and unsupervised derived gene sets and found that both types of signatures showed high concordance in prognostic power (van de Vijver et al, 2002).

Specifically we will be able to: 1) compare a large-scale supervised program of exercise to standard physical activity recommendations, and 2) examine the effect that a non-supervised, exercise-specific home-based program has on maintaining gains derived from supervised training.

This algorithm is based on a peak-picking filter derived from supervised learning through independent experiments.

Two supervised receivers are also derived by using a (short) pilot-assisted closed-form solution for calculating channel estimates.

In this paper, we augment a state-of-the-art KWS system with sub-word units derived from supervised and unsupervised morphological segmentations, and compare with phonetic and syllabic segmentations.

Imputing NDVI, ECe and Temperature data together and further processing using IDRISI software as illustrated in Figure 16, the overall assessment occurrence pattern of salt-affected soils is derived through supervised classification method.

Pixel-by-pixel comparisons of BPND parametric maps derived from supervised cluster analysis (BPNDsuper) and cerebellar GM (BPNDcerebellum) as input function are shown in Fig.  4.

The supervised wound-response signature derived by this approach is the only profile that could predict a local recurrence after BCT.

The vegetation map was derived using supervised classification with a k-nearest neighbor algorithm of 12 multi-spectral images at 10 m resolution, collected between January and May 2009 by satellite SPOT 5 (SPOT Image, Toulouse, France).

In line with our original findings from the unsupervised clustering, all centroid classifiers derived from supervised analysis grouped a notable fraction of smokers as potential "never-smokers", including both current and former smokers (in Additional file 2: Table S2).

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