Related papers: A Machine-Learning Framework for Design for Manufa…
Machine learning (ML) reproducibility is often framed as a problem of incomplete artifact recording. This framing leads to systems that prioritize capturing datasets, code, configurations, and execution environments. However, in…
Withdrawn; note hep-th/0110236 covers some similar material.
This paper has been withdrawn by the author due to an error.
Unfortunately, after an imprudent sumbission of the paper to the e-print archive, I discovered in it many serious mistakes. So I draw back it .
This submission has been withdrawn by arXiv administrators due to inappropriate text reuse from external sources
This paper has been withdrawn by the author.
This paper is removed from the network permanently. The content in this paper has now been put together with hep-th/9310183. See the recently replaced and widely revised version of the latter.
This paper has been withdrawn by the author due to a crucial mistakes.
This submission has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission.
Recently machine unlearning (MU) is proposed to remove the imprints of revoked samples from the already trained model parameters, to solve users' privacy concern. Different from the runtime expensive retraining from scratch, there exist two…
This paper has been withdrawn by the author
This paper has been withdrawn.
This paper has been withdrawn.
This paper has been withdrawn. A much-improved version can be found at hep-ph/0209176.
This submission is being withdrawn due to serious errors in the achievability proofs. The reviewers of the journal I had submitted to had found errors back in 2006. I had forgotten about this paper until I saw the CFP for a JSAC issue on…
This paper is withdrawn because it is a duplicate of astro-ph/0601311
This paper has been withdrawn. (Reason) Its contents have been entirely superseded by the contents of the articles arXiv:0809.3444 and arXiv:0705.3070. There is no profitable reason to keep it alive. No material on it is however wrong.
This paper has been withdrawn. It was an early draft submitted prematurely in error. A complete version is to be submitted shortly.
Why are some research studies easy to reproduce while others are difficult? Casting doubt on the accuracy of scientific work is not fruitful, especially when an individual researcher cannot reproduce the claims made in the paper. There…
This submission has been withdrawn at the request of the author.