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1579 Publications visible to you, out of a total of 1579
Strictly and non-strictly positive definite functions on spheres

Abstract

Not specified

Author: Tilmann Gneiting

Date Published: 2013

Publication Type: Journal

Tree shape priors with connectivity constraints using convex relaxation on general graphs

Abstract

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Authors: Jan Stühmer, Peter Schroder, Daniel Cremers

Date Published: 2013

Publication Type: InProceedings

A tightly regulated molecular toggle controls AAA+ disaggregase

Abstract

Not specified

Authors: Yuki Oguchi, Eva Kummer, Fabian Seyffer, Mykhaylo Berynskyy, Benjamin Anstett, Regina Zahn, Rebecca C Wade, Axel Mogk, Bernd Bukau

Date Published: 1st Dec 2012

Publication Type: Journal

Docking of Ubiquitin to Gold Nanoparticles

Abstract

Not specified

Authors: Giorgia Brancolini, Daria B. Kokh, Luigi Calzolai, Rebecca C. Wade, Stefano Corni

Date Published: 5th Oct 2012

Publication Type: Journal

Use of Spin Trap Technique for Kinetic Investigation of Elementary Steps of RAFT-Polymerization

Abstract

Not specified

Authors: Anatoly Filippov, Elena Chernikova, Vladimir Golubev, Ganna Grynova, Ching Yeh, Michelle L.

Date Published: 12th Sep 2012

Publication Type: Book

Photometric Redshift Estimation of Quasars: Local versus Global Regression

Abstract (Expand)

The task of estimating an object's redshift based on photometric data is one of the most important ones in astronomy. This is especially the case for quasars. Common approaches for this regression … task are based on nearest neighbor search, template fitting schemes, or combinations of, e.g., clustering and regression techniques. As we show in this work, simple frameworks like k-nearest neighbor regression work extremely well if one considers the overall feature space (containing patterns of all objects with low, middle, and high redshifts). However, such methods naturally fail as soon as only very few or even no training patterns are given in the appropriate region of the feature space. In the literature, a wide range of other regression techniques can be found. Among the most popular ones are regularized regression schemes like ridge regression or support vector regression. In this work, we show that an out-of-the-box application of this type of schemes for the whole feature space is difficult due to the involved computational requirements and the specific properties of the data at hand. However, in contrast to nearest neighbor search schemes, such methods can be employed to extrapolate, i.e., they can be used to predict redshifts for patterns in new, unseen regions of the feature space.

Authors: F. Gieseke, Kai L. Polsterer, Peter-Christian Zinn

Date Published: 1st Sep 2012

Publication Type: InProceedings

A Single Mutation in a Tunnel to the Active Site Changes the Mechanism and Kinetics of Product Release in Haloalkane Dehalogenase LinB

Abstract

Not specified

Authors: Lada Biedermannová, Zbyněk Prokop, Artur Gora, Eva Chovancová, Mihály Kovács, Jiří Damborský, Rebecca C. Wade

Date Published: 17th Aug 2012

Publication Type: Journal

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