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	题名	作者	年代	出处	被引量
1	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	2
2	An introduction to kernel-based learning algorithms显示文摘	Klaus-Robert Müiler Sebastian Mika Gunnar R(a)tsch Koji Tsuda and Bernhard Sch(o)lkopf	2001	IEEE Transactions on Eural Networks2001，3，：	1
3	Training Invariant Support Vector Machines显示文摘	Dennis Decoste Bernhard Sch?lkopf	2002	Machine Learning (-)2002，，1：	1
4	Nonlinear component analysis as a kernel eigenvalue problem显示文摘	Bernhard Sch?lkopf Alexander Smola d Klaus Robert Muller	1998	Neural Computer1998，10，：	1
5	Positron Emission Tomography/Computed Tomography Influences on the Management of Resectable Pancreatic Cancer and Its Cost-Effectiveness显示文摘	Stefan Heinrich Gerhard W. Goerres Markus Sch?fer Markus Sagmeister Peter Bauerfeind Bernhard C. Pestalozzi Thomas F. Hany Gustav K. von Schulthess Pierre-Alain Clavien	2005	Annals of Surgery2005，，2：	1
6	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
7	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
8	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
9	MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration显示文摘	Hofmann Matthias Steinke Florian Scheel Verena Charpiat Guillaume Farquhar Jason Aschoff Philip Brady Michael Sch?lkopf Bernhard Pichler Bernd J	2008	The Journal of Nuclear Medicine2008，，：	1
10	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
11	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
12	Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques显示文摘	Matthias Hofmann Bernd Pichler Bernhard Sch?lkopf Thomas Beyer	2009	European Journal of Nuclear Medicine and Molecula2009，，：	1
13	Effects of ecological compensation meadows on arthropod diversity in adjacent intensively managed grassland显示文摘	Matthias Albrecht Bernhard Schmid Martin K. Obrist Beatrice Schüpbach David Kleijn Peter Duelli	2009	Biological Conservation2009，，：	1
14	A tutorial on support vector regression显示文摘	Alex J Smola Bernhard Schlkopf	2004	Statistics and Computing2004，14，3：	1
15	SCA2 trinucleotide expansion in German SCA patients显示文摘	Olaf Riess Franco A. Laccone Suzana Gispert Ludger Sch?ls Christine Zühlke Ana Maria Menezes Vieira-Saecker Susanne Herlt Karl Wessel J?rg T. Epplen Bernhard H.F. Weber Friedmar Kreuz Soheyla Chahrokh-Zadeh Alfons Meindl Astrid Lunkes Jorge Aguiar Milan M	1997	Neurogenetics1997，，1：	1
16	Activation of the Ca2+-sensing receptor induces deposition of tight junction components to the epithelial cell plasma membrane显示文摘	Fran?ois Jouret Jingshing Wu Michael Hull Vanathy Rajendran Bernhard Mayr Christof Sch?fl John Geibel Michael J. Caplan	2013	Journal of Cell Science2013，，22：	1
17	Opportunities and challenges of clinical trials in cardiology using composite primary endpoints显示文摘In clinical trials, the primary efficacy endpoint often corresponds to a so-called 'composite endpoint'. Composite endpoints combine several events of interest within a single outcome variable. Thereby it is intended to enlarge the expected effect size and thereby increase the power of the study. However, composite endpoints also come along with serious challenges and problems. On the one hand, composite endpoints may lead to difficulties during the planning phase of a trial with respect to the sample size calculation, asthe expected clinical effect of an intervention on the composite endpoint depends on the effects on its single components and their correlations. This may lead to wrong assumptions on the sample size needed. Too optimistic assumptions on the expected effect may lead to an underpowered of the trial, whereas a too conservatively estimated effect results in an unnecessarily high sample size. On the other hand, the interpretation of composite endpoints may be difficult, as the observed effect of the composite does not necessarily reflect the effects of the single components. Therefore the demonstration of the clinical efficacy of a new intervention by exclusively evaluating the composite endpoint may be misleading. The present paper summarizes results and recommendations of the latest research addressing the above mentioned problems in the planning, analysis and interpretation of clinical trials with composite endpoints, thereby providing a practical guidance for users.	Geraldine Rauch Bernhard Rauch Svenja Schüler Meinhard Kieser	2015	World Journal of Cardiology2015，7，1：	1
18	Determination of 10 particle-associated multiclass polar and semi-polar pesticides from small streams using accelerated solvent extraction显示文摘	Ralf Bernhard Sch(a)fer Ralf Mueller Werner Brack	2008	Chemosphere2008，70，11：	1
19	A tutorial on support vector regression显示文摘	Alex J. Smola Bernhard Sch?lkopf	2004	Statistics and Computing2004，，3：	1
20	Image Quality and Radiation Exposure With a Low Tube Voltage Protocol for Coronary CT Angiography显示文摘	J?rg Hausleiter Stefan Martinoff Martin Hadamitzky Eugenio Martuscelli Iris Pschierer Gudrun M. Feuchtner Paz Catalán-Sanz Benedikt Czermak Tanja S. Meyer Franziska Hein Bernhard Bischoff Miriam Kuse Albert Sch?mig Stephan Achenbach	2010	JACC: Cardiovascular Imaging2010，，11：	1

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