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Ascertaining the feasibility of independent falsification or repetition of published results is vital to the scientific process, and replication or reproduction experiments are routinely performed in many disciplines. Unfortunately, such…
The authors have uploaded their artifact on Zenodo, which ensures a long-term retention of the artifact. The code is suitably documented, and some examples are given. A minimalistic overall description of the engine is provided. The…
This paper has been withdrawn by the authors. Because of a misunderstanding, the paper was submitted prematurely to the arXiv. A replacement will follow.
This paper is withdrawn due to some errors, which are corrected in arXiv:0912.0071v4 [cs.LG].
Concerns about reproducibility in artificial intelligence (AI) have emerged, as researchers have reported unsuccessful attempts to directly reproduce published findings in the field. Replicability, the ability to affirm a finding using the…
This paper has been withdrawn by the author(s), due the final version in math.QA/0604564
This preprint has been withdrawn. It is because I will never publish this preprint since everything has been contained in my new preprint: arXiv:0907.1506. Please refer to arXiv:0907.1506. Please do not cite this preprint any more.
This paper has been withdrawn by the corresponding author because the newest version is now published in Discrete Applied Mathematics.
This paper has been withdrawn by the author(s). Please see arXiv:0711.3910 for revision.
This paper has been withdrawn by the author, due an error in claim 1.
This paper has been withdrawn because the new one gr-qc/0512095 includes all its results (as well as those in gr-qc/0511016) in a clearer way.
This paper has been withdrawn by the author(s). Please refer to quant-ph/0311171.
This paper has been withdrawn by the author because it needs to be rewritten completely.
Machine learning (ML) is an increasingly important scientific tool supporting decision making and knowledge generation in numerous fields. With this, it also becomes more and more important that the results of ML experiments are…
Many research directions in machine learning, particularly in deep learning, involve complex, multi-stage experiments, commonly involving state-mutating operations acting on models along multiple paths of execution. Although machine…
This paper has been withdrawn.
This paper has been withdrawn by the author due to errors and bad formalization.
This paper has been withdrawn, as it is superseded by arXiv:0806.2122 (Bloch-Kato exponential maps for local fields with imperfect residue fields), which is a more recent version of the same paper.
This paper is withdrawn. See quant-ph/9806031 for a discussion.
This paper has been withdrawn by the authors, due to issues concerning the use of unpublished experimental data.