The relative trust-region method finds a direction and a step size with the help of a quadratic model of the objective function (as in the conventional trust- ...
The relative trust-region method finds a direction and a step size with the help of a quadratic model of the objective function (as in the conventional trust- ...
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [M.
Independent Component Analysis (ICA) is a technique for unsupervised exploration of multi-channel data that is widely used in observational sciences. In its ...
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We apply this relative trust-region learning method to the problem of independent component analysis (ICA), which leads to the relative TR-ICA algorithm which ...
This paper applies the relative trust-region learning method to the problem of independent component analysis (ICA), which leads to the relative TR-ICA ...
We present a new learning method, relative trust-region learn- ing, where we incorporate the relative optimization technique [9] into the trust-region ...
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Relative Trust region method. Truncated Newton method. These algorithms have all been rewritten in Python. They call the same gradient, Hessian and likelihood ...
In this paper, we present an efficient implementation of the maximum likelihood independent component analysis (ICA) using the trust-region method, which leads ...
Choi, H., & Choi, S. (2007). A relative trust-region algorithm for independent component analysis. Neurocomputing, 70, 1502–1510. https://doi.org ...