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1163篇 您的检索式:作者名="SMOLA"
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1Thermal stability and microstructure development of cast and powder metallurgy produced Mg-Y-Zn alloy during heat treatment显示文摘Response to isochronal annealing up to 440 ℃ of squeeze cast Mg–Y–Zn alloy and of the same alloy prepared by powder metallurgy(PM)and extruded at 280 ℃ was studied by resistivity and microhardness measurement,differential scanning calorimetry(DSC)and microstructure investigation.Electrical resistivity was measured at 77 K and microhardness was measured at room temperature after each annealing step.DSC measurement was performed at various heating rates.Transmission and scanning electron microscopy and optical microscopy revealed ribbons of long-period ordered structure(LPSO)18R and planar defects within grain boundaries.Relatively high density of planar defects was found in grain interiors of the cast alloy with the grain size approximately 50μm.Well pronounced subgrains were observed in the PM prepared alloy.Secondary phase particles decorate grain boundaries in this alloy.Three precipitation processes were detected in the cast alloy during repeated isochronal annealing up to 440 ℃,whereas only one significant process was revealed in the PM alloy.These processes were identified as embedding of stacking faults by solutes,development and rearrangement(18R→14H)of LPSO phase and development of grain boundary particles.A coarsening of grain boundary particles rich in Y and Zn only proceeds in the PM alloy.Activation energies of the precipitation processes were determined.Microhardness exhibits good thermal stability against annealing up to 360 ℃ in the PM alloy.Tomas Kekule Bohumil Smola Martin Vlach Hana Kudrnova Veronika Kodetova Ivana Stulikova 2017Journal of Magnesium and Alloys2017,5,2:2
2A tutorial on support vector regression显示文摘Alex J. Smola Bernhard Sch?lkopf 2004Statistics and Computing2004,,3:2
3Nonlinear component analysis as a kernel eigenvalue problem 显示文摘Scholkopf B Smola A J Muller K R 1998Neural Computation1998,10,6:1
4New support vector algorithms 显示文摘SCHOLKOPF B SMOLA A J WILLIAMSON R C 2000Neural Computation2000,12,5:1
5The connection between regularization operators and support vector kernels 显示文摘Smola A J Scholkopf B Muller K R 1998Neural Networks1998,11,4:1
6Structural Aspects of High Performance Mg Alloys Design显示文摘Smola B IStulikova Buch F von Mordike B L 2002Materials Science and Engineering2002,324,:1
7Advances in kernel methods: support vector learning显示文摘Sch6lkopf B Burges C J C Smola A J 1999Neuropsychologia1999,49,7:1
8New support vector algorithms显示文摘Scholkopf B Smola A Williamson R 2000Neural Computation2000,,12:1
9Nonlinear component analysis as a kernel eigenvalue problem显示文摘Scholkopf B Smola A Muller K-R 1998Neural Computation1998,10,12:1
10A tutorial on support vector regression 显示文摘Alex J Smola Bernhard Scholkopf 2004Statistics and Computing2004,14,3:1
11The connection between regularization operators and support vector kernels 显示文摘Smola A Scholkopf B MullerK R 1998Neural Networks1998,11,4:1
12Significance of stable and metastable phases in high temperature creep resistant magnesium-rare earth base alloys显示文摘Smola B Stulikova I Pelcova J Mordike B L 2004Journal of Alloys and Compounds2004,378,:1
13A tutorial on support vector regression for pattern recognition 显示文摘Smola A Sholkpf B 1998Data Mining and Knowledge Discovery1998,2,:1
14Nonlinear component analysis as a Kernel eigenvalue problem 显示文摘SCH-OLKOPF B SMOLA A M-ULLER K 1998Neural Computation1998,10,5:1
15Nonlinear component analysis as a kernel eigenvalue problem显示文摘Scholkopf B Smola A Muller K-R 1998Neural Compu- tation1998,10,5:1
16New sup- port vector algorithms 显示文摘SCHOLKOPF B SMOLA A WILLIAMSON R C 2000Neural Computation2000,12,5:1
17Nonlinear component analy- sis as a kernel eigenvalue problem显示文摘Scholkopf B Smola A Muller K R 1998Neural computation1998,10,5:1
18Non-linear component analysis as a kernel eigenvalue problem显示文摘Sch¨olkopf B Smola A M¨uller K 0,,:1
19Nonlinear component analysis is as a kernel eigenvalue problem显示文摘SCH(O)LOKOPF B SMOLA A MULLER K 0,,05:1
20Nonlinear component analy- sis as a kernel eigenvalue problem显示文摘Scholkopf B Smola A 1998Neural Corn putation1998,10,5:1
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