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Showing 1 to 2 of 2 for “"Information-Theoretic Learning"”.
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Bayesian and Information-Theoretic Learning of High Dimensional Data
… concept of block sparsity. </p><p>Finally in the information-theoretic projection design, a linear projection matrix is explicitly sought for information-preserving dimensionality reduction. All the methods mentioned above prove to be effective in learning both simulated and real high dimensional …
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Physically inspired methods and development of data-driven predictive systems.
… expertise and intuition in the field of machine learning are often irreplaceable. However, in many practical situations it is possible to build well–performing predictive systems by following a rigorous methodology and offsetting not only the lack of domain knowledge but also partial lack of …