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This paper has been withdrawn by the author due to a crucial sign error in equation 1
This paper has been withdrawn by arXiv administrators because of disputed claims of authorship among former collaborators
The paper is being withdrawn since the authors felt that the submission is a little premature after a careful reading by some of the experts in this field.
This paper has been withdrawn by the authors due to some fatal errors in the analysis.
This paper has been withdrawn due to the adherance to the double submission policies of a refereed journal. Our apologies.
This paper has been withdrawn by the author(s), due to the existence of a much better paper in http://arxiv.org/abs/cs.CR/0207027
This paper was withdrawn by the authors.
This paper has been withdrawn by the author due to an error in the proof of Theorem 1.
This paper has been withdrawn because the models on which it was based have undergone significant changes and improvements. A new paper with the same title, based on the improved models, is accepted for publication in MNRAS and is available…
This paper has been withdrawn by authors due to publication requirement.
This paper has been withdrawn by the author.
This paper has been withdrawn due to an error. We plan to replace it with a corrected version.
This paper has been withdrawn by the author, due to a significant error in section 4.3.1.
This paper, which commented on Newman and Leicht's "Mixture models and exploratory analysis in networks" (2007, PNAS 104, 9564-9569), has been withdrawn. The reason for this removal is that we misinterpreted the conceptual framework that…
This paper has been withdrawn by the author, due to errors in the figures.
This paper has been withdrawn by the authors, due to a flaw in the proof of Theorem 1. This preprint is superseded by quant-ph/0610027, where a correct proof can be found. Thanks to Rainer Siegmund-Schultze for spotting the error.
This paper has been withdrawn by the author due to a crucial sign error.
This paper has been withdrawn by the author; see the much expanded, improved, and generalized version at arXiv:0811.2073.
Personal connections between creators and evaluators of scientific works are ubiquitous, and the possibility of bias ever-present. Although connections have been shown to bias prospective judgments of (uncertain) future performance, it is…
This paper has been withdrawn by the author due to a crucial error.