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To incorporate the previous described secondary data sources in a kernel framework for microarray-based cancer classification presented in Figure 2, the databases were converted into graphs from which the corresponding Laplacian matrix can be derived (step 1 in Figure 2).
A kernel framework for optimizing weights is proposed in [ 48].
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The kernel framework is further extended for selecting features (biomarkers) from heterogeneous data sources that play more significant roles than others in AD diagnosis.
In this paper we propose a method for human action recognition based on a string kernel framework.
The similarity between images is represented in a kernel framework.
The paper by Duan [27] proposes to implement a multiple kernel learning framework for a transfer learning environment called the domain transfer multiple kernel learning (DTMKL).
Comaniciu et al. [1] presented a kernel-based framework for tracking nonrigid objects.
This paper investigates the use of several kinds of kernels in a kernel ridge regression framework for genome-assisted prediction of quantitative traits.
This is in the spirit of the kernel-based smoothing often performed in estimating inhomogeneous neuronal firing rates and also in the spirit of the reproducing kernel Hilbert space framework for spike train signal processing described in [15].
The Software Engineering Method and Theory (SEMAT) community created the Essence kernel as a unifying framework for describing and analyzing software engineering endeavors.
Next, in [21], a simple packet size-aware path selection mechanism is implemented as a Linux kernel module utilizing the netfilter framework for a small network, and the corresponding performance is evaluated through various experiments.
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