Four SVM models with different kernel functions (linear, quadratic, cubic and gaussian) were tested separately. A twofold cross-validation was adopted to evaluate the performance of the SVM models.
A neural code based on sequences of spikes can consume a significant portion of the brain's energy budget. Thus, energy considerations would dictate that spiking activity be kept as low as possible.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...
My sandbox for experimenting with solver algorithms.
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