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Predicting Internet Network Distance with Coordinates-Based Approaches

by T. S. Eugene Ng, Hui Zhang - In INFOCOM , 2001
"... In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance (i.e. round-trip propagation and transmission delay) . We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which is bas ..."
Abstract - Cited by 631 (6 self) - Add to MetaCart
In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance (i.e. round-trip propagation and transmission delay) . We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which

The link-prediction problem for social networks

by David Liben-nowell, Jon Kleinberg - J. AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY , 2007
"... Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link-prediction problem, and we develop approaches to link prediction based on measures for analyzing the “proximity” of nodes in a ne ..."
Abstract - Cited by 906 (6 self) - Add to MetaCart
Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link-prediction problem, and we develop approaches to link prediction based on measures for analyzing the “proximity” of nodes in a

Predictive reward signal of dopamine neurons

by Wolfram Schultz - Journal of Neurophysiology , 1998
"... Schultz, Wolfram. Predictive reward signal of dopamine neurons. is called rewards, which elicit and reinforce approach behav-J. Neurophysiol. 80: 1–27, 1998. The effects of lesions, receptor ior. The functions of rewards were developed further during blocking, electrical self-stimulation, and drugs ..."
Abstract - Cited by 747 (12 self) - Add to MetaCart
Schultz, Wolfram. Predictive reward signal of dopamine neurons. is called rewards, which elicit and reinforce approach behav-J. Neurophysiol. 80: 1–27, 1998. The effects of lesions, receptor ior. The functions of rewards were developed further during blocking, electrical self-stimulation, and drugs

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

by T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield - Science , 1999
"... Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitori ..."
Abstract - Cited by 1779 (19 self) - Add to MetaCart
Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression

Structural equation modeling in practice: a review and recommended two-step approach.

by James C Anderson , J L Kellogg , David W Gerbing , Jeanne Brett , Claes Fornell , David Larcker , William Perreault Jr , James Steiger - Psychological Bulletin, , 1988
"... In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We di ..."
Abstract - Cited by 1825 (3 self) - Add to MetaCart
and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed. Substantive use of structural equation modeling has been growing in psychology and the social sciences. One reason

An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

by Jimmy K. Eng, Ashley L. Mccormack, John R. Yates - J. Am. Soc. Mass Spectrom , 1994
"... A method to correlate the uninterpreted tandem mass spectra of peptides produced under low energy (lo-50 eV) collision conditions with amino acid sequences in the Genpept database has been developed. In this method the protein database is searched to identify linear amino acid sequences within a mas ..."
Abstract - Cited by 944 (19 self) - Add to MetaCart
mass tolerance of * 1 u of the precursor ion molecular weight. A cross-correlation function is then used to provide a measurement of similarity between the mass-to-charge ratios for the fragment ions predicted from amino acid sequences obtained from the database and the fragment ions observed

The KEGG resource for deciphering the genome

by Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, Yasushi Okuno, Masahiro Hattori - Nucleic Acids Res , 2004
"... A grand challenge in the post-genomic era is a complete computer representation of the cell and the organism, which will enable computational prediction of higher-level complexity of cellular processes and organism behavior from genomic information. Toward this end we have been developing a knowledg ..."
Abstract - Cited by 513 (24 self) - Add to MetaCart
knowledge-based approach for network prediction, which is to predict, given a complete set of genes in the genome, the protein interaction networks that are responsible for various cellular processes. KEGG at

A survey of industrial model predictive control technology

by S. Joe Qin , Thomas A. Badgwell , 2003
"... This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control an ..."
Abstract - Cited by 460 (4 self) - Add to MetaCart
This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control

Combining Branch Predictors

by Scott Mcfarling , 1993
"... One of the key factors determining computer performance is the degree to which the implementation can take advantage of instruction-level paral-lelism. Perhaps the most critical limit to this parallelism is the presence of conditional branches that determine which instructions need to be executed ne ..."
Abstract - Cited by 629 (0 self) - Add to MetaCart
of branch history by hashing it together with the branch address. Together, these new techniques are shown to outperform previously known approaches both in terms of maximum prediction accuracy and the prediction accuracy for a given predictor size. Specifically, prediction accuracy reaches 98.1% correct

Quantum Gravity

by Lee Smolin , 2004
"... We describe the basic assumptions and key results of loop quantum gravity, which is a background independent approach to quantum gravity. The emphasis is on the basic physical principles and how one deduces predictions from them, at a level suitable for physicists in other areas such as string theor ..."
Abstract - Cited by 572 (11 self) - Add to MetaCart
We describe the basic assumptions and key results of loop quantum gravity, which is a background independent approach to quantum gravity. The emphasis is on the basic physical principles and how one deduces predictions from them, at a level suitable for physicists in other areas such as string
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