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In this comment, we raise serious concerns over the derivation of the rate of convergence of fractional steepest descent algorithm in Fractional Adaptive Learning (FAL) approach presented in `Fractional Extreme Value Adaptive Training…
Asynchronous parallel optimization algorithms for solving large-scale machine learning problems have drawn significant attention from academia to industry recently. This paper proposes a novel algorithm, decoupled asynchronous proximal…
This paper was withdrawn by arXiv admin due to authors' misrepresentation of identity/affiliation.
This study uses stacked generalization, which is a two-step process of combining machine learning methods, called meta or super learners, for improving the performance of algorithms in step one (by minimizing the error rate of each…
This paper has been withdrawn by the author.
This paper has been withdrawn by the author
This paper has been withdrawn by the author due to a crucial error in the submission action.
Withdrawn due to extensions and submission as another paper.
This manuscript has been withdrawn by the author. Some of the material has been included in the manuscript 'Dualizing the Dual Standard Model' hep-ph/0102084.
This paper has been withdrawn by the author, due to a significant error in section 4.3.1.
This paper has been withdrawn by the author due to a crucial problem in Lemma 3. This equation must be changed.
This work is a preliminary exploratory study of how we could progress a step towards an AI assisted article classification sys- tem in academia. The proposed system aims to aid the journal editors in their decisions by pinpointing the…
This paper has been withdrawn by the authors, due the copyright policy of the journal it has been submited to.
Stochastic Approximation (SA) is a classical algorithm that has had since the early days a huge impact on signal processing, and nowadays on machine learning, due to the necessity to deal with a large amount of data observed with…
This paper has been withdrawn by the authors due to some fatal errors in the analysis.
This paper has been withdrawn by the author due to a mistake in the section 4.
This paper has been withdrawn by the authors due to a crucial error in the proof of the main result. In a new manuscript (with two new authors) available at arXiv:1010.2791v1 this problem has been resolved.
There are some problems with this paper, and it is being withdrawn.
this is a duplicate submission(original is arXiv:1612.02141). Hence want to withdraw it
This paper has been withdrawn because there is a fundamental error in the computations; with the right computational scheme it seems to be just a version of the Jones polynomial