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Daniel Herrmann
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Cited by
Year
On the complexity of learning the kernel matrix
O Bousquet, D Herrmann
Advances in neural information processing systems, 415-422, 2003
1702003
Hull of aperiodic solids and gap labelling theorems
J Bellissard, DJL Herrmann, M Zarrouati
Directions in mathematical quasicrystals 13, 207-258, 2000
1312000
Extension of the nu-svm range for classification
F Pérez-Cruz, J Weston, DJL Herrmann, B Scholkopf
NATO Science Series Sub Series III Computer and Systems Sciences 190, 179-196, 2003
722003
Feature selection for troubleshooting in complex assembly lines
T Pfingsten, DJL Herrmann, T Schnitzler, A Feustel, B Scholkopf
IEEE transactions on automation science and engineering 4 (3), 465-469, 2007
202007
Quantitative assessment of STM images of Fe grown epitaxially on MgO (001) using fractal techniques
SM Jordan, R Schad, DJL Herrmann, JF Lawler, H Van Kempen
Physical Review B 58 (19), 13132, 1998
151998
Model-based design analysis and yield optimization
T Pfingsten, DJL Herrmann, CE Rasmussen
IEEE Transactions on semiconductor manufacturing 19 (4), 475-486, 2006
142006
Sensor
B Opitz, A Feyh, D Herrmann, O Wolst
US Patent 8,007,169, 2011
122011
Quantitative analysis of scanning tunnelling microscope images of Fe grown epitaxially on MgO (001) using length-dependent variance measurements
SM Jordan, R Schad, JF Lawler, DJL Herrmann, H Van Kempen
Journal of Physics: Condensed Matter 10 (21), L355, 1998
81998
On spectral properties of Harper-like models
DJL Herrmann, T Janssen
Journal of Mathematical Physics 40 (3), 1197-1214, 1999
51999
Thermally decoupled micro-structured reference element for sensors
I Herrmann, D Herrmann, F Freund, A Feyh, M Eckardt
US Patent 8,556,504, 2013
42013
Micromechanical component and corresponding production method
I Herrmann, KF Reinhart, D Herrmann, F Freund, A Feyh, M Eckardt
US Patent App. 12/541,745, 2010
32010
On the complexity of learning the kernel matrix
DJL Herrmann, O Bousquet
Advances in neural information processing systems 15, 415-422, 2003
32003
Extension of the ν-SVM range for classification. Advances in Learning Theory: Methods, Models and Applications 190 (pp. 179–196)
F Perez-Cruz, J Weston, DJL Hermann, B Schölkopf
Amsterdam: IOS Press, 2003
32003
DJL Herrmann i M
J Bellissard
Zarrouati.“Hulls of aperiodic solids and gap labeling theorems”. Directions …, 2000
32000
Hull of aperiodic solids and gap labeling theorems. Directions in mathematical quasicrystals, 207–258
J Bellissard, DJL Herrmann, M Zarrouati
CRM Monogr. Ser 13, 0
3
& Herrmann, DJL (2003). On the complexity of learning the kernel matrix
O Bousquet
Advances in Neural Information Processing Systems 15, 0
3
Hulls of aperiodic solids and gaplabelling theorems, Directions in Mathematical Quasicrystals, M. Baake and RV Moody, editors
J Bellissard, DJL Herrmann, M Zarrouati
Amer. Math. Soc. Providence, RI, 2000
22000
Properties of Models for aperiodic solids
DJL Herrmann
Göttingen: Cuvillier, 2000
22000
Sensor system and method for operating a sensor system
I Herrmann, KF Reinhart, D Herrmann, F Freund
US Patent 8,695,442, 2014
12014
Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory
D Janzing, D Herrmann
arXiv preprint cs/0309015, 2003
12003
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