Error bars represent the standard deviation over 15 trials. Full size image Multiple learning episodes and descents: rotation invariant kernels and measures Next, we study kernel regression on high-dimensional spheres focusing on rotation invariant kernels, which satisfy \(K({\bf{O}}{\bf{x}},{...
For each empirical spectral tuning curve, the best fit parameters of the model are iteratively estimated using a standard gradient descent algorithm under the least squares estimation method. We consider a set ofNobservations of the activities of third order cellsY = (y1,y2, …yN) that wer...
The Dynamic Imaging of Coherent Sources (DICS) beamforming and applying the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm on the results of the DICS beamforming, in order to localize the generators of the activity of the three frequency bands of interest (TBA, AB...
Briefly explain the differences and similarities between random forest and decision trees. How do we randomize twice when implementing the random forest algorithm? Please review the following memo and note at least four instances where it could ...
To implement this nonlinear MVAR model, a multilayer perceptron neural network with single hidden layer and 10 hidden neurons was trained. The training algorithm was gradient descent error back-propagation (EBP) with momentum (α) and adaptive learning rate (η). In order to generalize the network...