Cor Bioch

Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines

To minimize the primal support vector machine (SVM) problem, we propose to use iterative majorization. To allow for nonlinearity of the predictors, we use (non)monotone spline transformations. An advantage over the usual kernel approach in the dual problem is that the variables can be easily interpreted. We illustrate this with an example from the literature.

Solving and Interpreting Binary Classification Problems in Marketing with SVMs

A plurality of pad electrodes are formed on a first surface of an IC wafer, and a solder layer is formed on each of the pad electrodes. The first surface of the IC wafer including solder layers is coated with a flux layer, and solder layers are reflowed to round each of the solder layers, thereby forming each solder layer into a solder bump. An adhesive tape is adhered on the flux layer, and a second surface opposite to the first surface of the IC wafer is ground to form a flip chip semiconductor device.