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This method may be useful for the in-field detection of DP305423× GTS 40-3-2 40-3-2 40-3-2soybeankernel basis and on-site screening tests of stacked GM singlen lines and individual parent GM soybean lines in highly processed foods.
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To classify data, MKL considers a linearly weighted sum of kernels instead of a single kernel.
Next, we enumerate all the paired combinations of a single kernel and a single Laplacian for clustering.
On the other hand, summing up several kernels together leads to a single kernel.
Traditional SVM algorithms, such as used by recent related work on protease substrate prediction [32], [38] require selecting a single kernel function and using it on all input data throughout the algorithm.
The TDMP decoder is implemented as a single kernel function on the Storm-1 processor.
Multiple isolated containers are run on a single host with sharing a single kernel.
A comparison between a single kernel based on SVM, MKL, LMKL, and the feature fusion based LMKL is illustrated in Fig. 2.
By using all available data encoded into a set of kernels, MKL classifiers most frequently outperform a single kernel classifier constructed for one type of data.
Our preliminary experiments show that when using KL to combine a single kernel and a single Laplacian, its performance strongly depends on the quality of the kernel and the Laplacian, which results in a model selection problem to determine the optimal settings of the kernel and the Laplacian.
Flacco did not spill a single kernel.
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