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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 633 (5 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 Elements of Statistical Learning -- Data Mining, Inference, and Prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman
"... ..."
Abstract - Cited by 1320 (13 self) - Add to MetaCart
Abstract not found

Improved prediction of signal peptides -- SignalP 3.0

by Jannick Dyrløv Bendtsen, Henrik Nielsen, Gunnar von Heijne, Søren Brunak - J. MOL. BIOL. , 2004
"... We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated. Motivated by the idea that the cle ..."
Abstract - Cited by 655 (7 self) - Add to MetaCart
peptide discrimination improvement is mainly due to the elimination of false positive predictions, as well as the introduction of a new discrimination score for the neural network. The new method has also been benchmarked against other available methods. Predictions can be made at the publicly available

Protein Secondary Structure Prediction . . .

by David T. Jones - JO MOL B/O/. (1999) 292, 195-202 .GG , 1999
"... ..."
Abstract - Cited by 933 (19 self) - Add to MetaCart
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Atmospheric Modeling, Data Assimilation and Predictability

by Eugenia Kalnay , 2003
"... Numerical weather prediction (NWP) now provides major guidance in our daily weather forecast. The accuracy of NWP models has improved steadily since the first successful experiment made by Charney, Fj!rtoft and von Neuman (1950). During the past 50 years, a large number of technical papers and repor ..."
Abstract - Cited by 606 (36 self) - Add to MetaCart
Numerical weather prediction (NWP) now provides major guidance in our daily weather forecast. The accuracy of NWP models has improved steadily since the first successful experiment made by Charney, Fj!rtoft and von Neuman (1950). During the past 50 years, a large number of technical papers

Constrained model predictive control: Stability and optimality

by D. Q. Mayne, J. B. Rawlings, C. V. Rao, P. O. M. Scokaert - AUTOMATICA , 2000
"... Model predictive control is a form of control in which the current control action is obtained by solving, at each sampling instant, a finite horizon open-loop optimal control problem, using the current state of the plant as the initial state; the optimization yields an optimal control sequence and t ..."
Abstract - Cited by 696 (15 self) - Add to MetaCart
Model predictive control is a form of control in which the current control action is obtained by solving, at each sampling instant, a finite horizon open-loop optimal control problem, using the current state of the plant as the initial state; the optimization yields an optimal control sequence

Predicting Transmembrane Protein Topology with a Hidden Markov Model: Application to Complete Genomes

by Anders Krogh, Björn Larsson, Gunnar von Heijne, Erik L. L. Sonnhammer - J. MOL. BIOL , 2001
"... ..."
Abstract - Cited by 880 (16 self) - Add to MetaCart
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Predicting How People Play Games: Reinforcement Learning . . .

by Ido Erev, Alvin E. Roth - AMERICAN ECONOMIC REVIEW , 1998
"... ..."
Abstract - Cited by 607 (23 self) - Add to MetaCart
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Empirical Analysis of Predictive Algorithm for Collaborative Filtering

by John S. Breese, David Heckerman, Carl Kadie - Proceedings of the 14 th Conference on Uncertainty in Artificial Intelligence , 1998
"... 1 ..."
Abstract - Cited by 1481 (4 self) - Add to MetaCart
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Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of Their Cleavage Sites

by Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne , 1997
"... We have developed a new method for identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequences. The method performs significantly better than previous prediction schemes, and can easily be applied on genome-wide ..."
Abstract - Cited by 766 (17 self) - Add to MetaCart
-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, thoughwith lower precision. Predictions can be made on a publicly available WWW server. Present address: Novo Nordisk A/S, Scientific Computing, Building 9M1, Novo Alle, DK
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