To test this, we trained a pattern association network on the output of VisNet to compare with the support vector machine results shown in Fig. 4.
Since the natural policy gradient learning has been used in training a central pattern generator paradigm, it is called Natural Learner CPG Neural Networks (NLCPGNN).
We trained a linear pattern classifier [Support Vector Machine (SVM ], independently per participant per region of V1, to learn the mapping between a set of multivariate brain observations and the corresponding expression label (happy or fear).
We then trained a linear pattern classifier to classify facial expression or gender on the basis of V1 data from 'eye' and 'mouth' regions, and from the remaining non-diagnostic V1 region.
He uses this technique a way of training a computer to learn a pattern without being explicitly programmed to help make predictions about how the molecules will assemble.
Most showmanship patterns will require trotting in-hand, stopping, backing, and pivoting, so these are perfect patterns for training a horse to handle well on the ground, and to get it to think about focusing on you, and trusting you.
From these carefully scribed records, dropped or discarded last fall by recruits and the veterans who trained them, a pattern emerges.
Machine learning trains a model from patterns in your data, exploring a space of possible models defined by parameters.
This was achieved by splitting the image data (now in the form of pattern vectors) into two segments: a "training" set used to train a linear support vector pattern classifier (with fixed regularization hyperparameter C = 1) to identify response patterns related to the two conditions being discriminated and a "test" set used to independently test the classification performance.
(B ) At 3 d after training, a similar pattern was observed (VEH, n = 8; ANI, n = 12).
