Titlebook: Smith, Marx, & After; Ten Essays in the De Ronald L. Meek Book 1977 Ronald L. Meek 1977 development.economic thought.Karl Marx.Marx

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Ronald L. Meekgorithm whereby we solve the subproblem inexactly by accelerated coordinate descent (ACD). Convergence is guaranteed with at most a few number of ACD iterations for each DC subproblem, and convergence complexity is established for identifying certain approximate critical points. Fourth, we further d

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Ronald L. Meekh, any algorithm that can optimize a Poisson (log-)likelihood, such as gradient boosted trees, deep neural networks, model-based boosting and many more can be used in the context of time-to-event analysis. The proposed technique does not require any assumptions with respect to the distribution of ev

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Ronald L. Meekhose popular quality metrics have strong biases toward incorrectly awarding good scores to some kinds of clusters, especially seen in larger networks. They also indicate that currently used clustering algorithms and quality metrics do not behave as expected when cluster structures are different from

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such situations, though anomalies are observed in sensor values, the underlying invariance of the healthy sub-systems is still captured by some steady dependency structures before and after the onset of the error. We propose a structure learning algorithm to find such invariances in the case of Grap

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