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Related papers: Comment on "Support Vector Machines with Applicati…

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This lecture will introduce the Support Vector algorithms for classification and regression. They are an application of the so called kernel trick, which allows the extension of a certain class of linear algorithms to the non linear case.…

Data Analysis, Statistics and Probability · Physics 2008-03-18 Anselm Vossen

The comment is intended to answer the criticism presented on `Steady-state fluctuations of a genetic feedback loop: an exact solution' [J. Chem. Phys. {\bf 137}, 035104 (2012).] and provides the missing component for the complete analytic…

Subcellular Processes · Quantitative Biology 2013-02-22 Guilherme C. P. Innocentini , Alexandre F. Ramos , José Eduardo M. Hornos

Comment on cond-mat/0205390; PRL 90, 026805 (2003)

Mesoscale and Nanoscale Physics · Physics 2007-05-23 U. Eckern , P. Schwab , V. Ambegaokar

We make comments on Gaidarzhy {\it et al.}'s [{\it Phys. Rev. Lett.} 94, 030402 (2005)] letter.

Quantum Physics · Physics 2007-05-23 A. Kwang-Hua Chu

A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented. This representation allows circumvention of many of the shortcomings associated with…

Methodology · Statistics 2013-05-14 Jan Luts , John T. Ormerod

Comment on "Efficiency of Isothermal Molecular Machines at Maximum Power" (PRL 108, 210602 (2012), arXiv:1201.6396)

Statistical Mechanics · Physics 2015-03-06 Yunxin Zhang

Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279]

Methodology · Statistics 2007-08-03 Wenbin Wang

Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279]

Methodology · Statistics 2007-08-03 Andrew Koehler

Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279]

Methodology · Statistics 2009-09-29 Norman Fenton , Martin Neil

This is a supplement to the article "Markov Chain Monte Carlo Based on Deterministic Transformations" available at http://arxiv.org/abs/1106.5850

Computation · Statistics 2013-07-01 Somak Dutta , Sourabh Bhattacharya

Advances in statistical learning theory present the opportunity to develop statistical models of quantum many-body systems exhibiting remarkable predictive power. The potential of such ``theory-thin'' approaches is illustrated with the…

Nuclear Theory · Physics 2008-11-26 John W. Clark , Haochen Li

In this note, we have shown special case on Routh stability criterion, which is not discussed, in previous literature. This idea can be useful in computer science applications.

Numerical Analysis · Computer Science 2010-04-28 T. D. Roopamala , S. K. Katti

Critical comments on the recent papers supporting the idea of resilient quantum computations are presented.

Quantum Physics · Physics 2007-05-23 Robert Alicki

Answer to cond-mat/0106005 and cond-mat/0106006 and additional notes are given concerning to my previous comment (cond-mat/0105324).

Disordered Systems and Neural Networks · Physics 2007-05-23 I. M. Suslov

We comment on the latest paper [K.-H. Ding, Z.-G. Zhu, and J. Berakdar, J. Phys.: Condens. Matter 24, 266003 (2012)].

Mesoscale and Nanoscale Physics · Physics 2012-12-04 Y. Zhou , M. W. Wu

The support vector machine (SVM) algorithm is well known to the computer learning community for its very good practical results. The goal of the present paper is to study this algorithm from a statistical perspective, using tools of…

Statistics Theory · Mathematics 2008-12-18 Gilles Blanchard , Olivier Bousquet , Pascal Massart

This is an overview of various aspects of the 6-vertex model in statistical mechanics and related models.

Mathematical Physics · Physics 2010-10-26 N. Reshetikhin

Rejoinder: Conditional Growth Charts [math.ST/0702634]

Statistics Theory · Mathematics 2007-06-13 Ying Wei , Xuming He

A Comment on the Letter by C. R. Galley, Phys. Rev. Lett. 110, 174301 (2013).

Mathematical Physics · Physics 2015-03-02 Epifanio G. Virga

Lee replies to the comment on "Statistical Mechanics of Non-Abelian Chern-Simons Particles" by C. R. Hagen

High Energy Physics - Theory · Physics 2007-05-23 Taejin Lee
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