In the Gaussian information bottleneck, a new encoding component is added exactly when the remaining relevant information of active components matches the maximum capacity of the next component; the rule is applied to optimal prediction in a linear oscillator.
A13), we can rewrite the above condition as r2(Is − ˜Σsy ˜Σys) ˆw∗ 1 = a2 ˆw∗
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Intuitive dissection of the Gaussian information bottleneck method with an application to optimal prediction
In the Gaussian information bottleneck, a new encoding component is added exactly when the remaining relevant information of active components matches the maximum capacity of the next component; the rule is applied to optimal prediction in a linear oscillator.