Considering the same set of kNNs (left (X ={x_{1}^{NN}, x_{2}^{NN}, ldots, x_{k}^{NN}} right)) and the target variable of each one as (V = {v_{1}^{NN}, v_{2}^{NN},dots, v_{k}^{NN}},) the value of the new observation will be calculated as: begin{aligned} v_{r} = frac{sum _{i=1}^{k} v_{i}^{NN}}{k},quad i=1,ldots, k end{aligned} (2 FML-kNN regressor implements the above procedure.
The software tools to implement the above procedure are written based on KEGG SOAP API, developed under Java™ 7.0 and tested under Windows, Mac OS and Linux operating systems.
When scatter coincidence events interfere with the edge detection on sinograms, it would be possible to detect them on reconstructed images without attenuation correction, implementing the above HDW and proceeding with the following procedure.
Hence, we use the above procedure when implementing this system, using the LR code from that group.
The above procedure was further implemented at another site to see if the approach succeeds similarly when the location changes.
The above procedure for assembly of reads was implemented in self-written PERL scripts.
The above procedure took approximately 3 hours and 27 minutes to complete by the same computer which was used to implement BVSA on the ERBB2 dataset.
The above procedure, however, can be problematic.
