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*2006
54EEBirger Andersson, Maria Bergholtz, Bertrand Grégoire, Paul Johannesson, Michael Schmitt, Jelena Zdravkovic: From Business to Process Models - a Chaining Methodology. BUSITAL 2006
53EEMichael Schmitt, Bertrand Grégoire, Stefan Leidner: Enhancing trust and buy-in from business: a platform for business -driven development of B2B transactions. CAiSE Forum 2006
52EEBertrand Grégoire, Michael Schmitt: Business Service Network Design: From Business Model to an Integrated Multi-Partner Business Transaction. CEC/EEE 2006: 84
51EEBirger Andersson, Maria Bergholtz, Ananda Edirisuriya, Tharaka Ilayperuma, Paul Johannesson, Bertrand Grégoire, Michael Schmitt, Eric Dubois, Sven Abels, Axel Hahn, Jaap Gordijn, Hans Weigand, Benkt Wangler: Towards a Common Ontology for Business Models. EMOI-INTEROP 2006
50EEBirger Andersson, Maria Bergholtz, Ananda Edirisuriya, Tharaka Ilayperuma, Paul Johannesson, Jaap Gordijn, Bertrand Grégoire, Michael Schmitt, Eric Dubois, Sven Abels, Axel Hahn, Benkt Wangler, Hans Weigand: Towards a Reference Ontology for Business Models. ER 2006: 482-496
49EEMichael Schmitt, Laura Martignon: On the Complexity of Learning Lexicographic Strategies. Journal of Machine Learning Research 7: 55-83 (2006)
2005
48EEMichael Schmitt, Christophe Incoul, Eric Dubois: Supporting Business Experts in the Design of B2B Transactions Through Interactive Process Simulation. Business Process Management Workshops 2005: 342-352
47EEMichael Schmitt, Laura Martignon: On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal?. NIPS 2005
46EEAtsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans-Ulrich Simon: Inner Product Spaces for Bayesian Networks. Journal of Machine Learning Research 6: 1383-1403 (2005)
45EEMichael Schmitt: On the Capabilities of Higher-Order Neurons: A Radial Basis Function Approach. Neural Computation 17(3): 715-729 (2005)
44EEFrauke Friedrichs, Michael Schmitt: On the power of Boolean computations in generalized RBF neural networks. Neurocomputing 63: 483-498 (2005)
2004
43EEMichael Schmitt: An Improved VC Dimension Bound for Sparse Polynomials. COLT 2004: 393-407
42EEAtsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans-Ulrich Simon: Bayesian Networks and Inner Product Spaces. COLT 2004: 518-533
41EEMichael Schmitt: On the sample complexity of learning for networks of spiking neurons with nonlinear synaptic interactions Electronic Colloquium on Computational Complexity (ECCC)(033): (2004)
40EEMichael Schmitt: Some dichotomy theorems for neural learning problems Electronic Colloquium on Computational Complexity (ECCC)(075): (2004)
39EEMichael Schmitt, Michael Trefz, Steffen Scholl: Einführung der Unternehmenssoftware SAP Business One beim Logistik-Dienstleiter Trefz. HMD - Praxis Wirtschaftsinform. 240: (2004)
38EEMichael Schmitt: Some Dichotomy Theorems for Neural Learning Problems. Journal of Machine Learning Research 5: 891-912 (2004)
2002
37EEMichael Schmitt: RBF Neural Networks and Descartes' Rule of Signs. ALT 2002: 321-335
36EEMichael Schmitt: Descartes' Rule of Signs for Radial Basis Function Neural Networks. Neural Computation 14(12): 2997-3011 (2002)
35EEMichael Schmitt: On the Complexity of Computing and Learning with Multiplicative Neural Networks. Neural Computation 14(2): 241-301 (2002)
34EEMichael Schmitt: Neural Networks with Local Receptive Fields and Superlinear VC Dimension. Neural Computation 14(4): 919-956 (2002)
2001
33EEMichael Schmitt: Radial Basis Function Neural Networks Have Superlinear VC Dimension. COLT/EuroCOLT 2001: 14-30
32EEMichael Schmitt: Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions. ICANN 2001: 247-252
31EEMichael Schmitt: Product Unit Neural Networks with Constant Depth and Superlinear VC Dimension. ICANN 2001: 253-258
30EEMichael Schmitt: Neural Networks with Local Receptive Fields and Superlinear VC Dimension Electronic Colloquium on Computational Complexity (ECCC) 8(45): (2001)
29EEMichael Schmitt: On using the Poincaré polynomial for calculating the VC dimension of neural networks. Neural Networks 14(10): 1465- (2001)
2000
28 Alexandros Matsikis, Claudia Gönner, Michael Schmitt, Martin Rous, H. Jianxin, Karl-Friedrich Kraiss: Eliminierung von temporären Hindernissen im 2D- und 3D-Raum bei der Rekonstruktion einer Umgebung für einen teilautonomen mobilen Roboter. AMS 2000: 37-46
27EEMichael Schmitt: VC Dimension Bounds for Product Unit Networks. IJCNN (4) 2000: 165-170
26EEMichael Schmitt: Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks Electronic Colloquium on Computational Complexity (ECCC) 7(2): (2000)
25EEMichael Schmitt: On the Complexity of Computing and Learning with Multiplicative Neural Networks Electronic Colloquium on Computational Complexity (ECCC) 7(86): (2000)
1999
24 Alexandros Matsikis, Michael Schmitt, Martin Rous, Karl-Friedrich Kraiss: Ein Konzept für die mobile Manipulation von unbekannten Objekten mit Hilfe von 3D-Rekonstruktion und Visual Servoing. AMS 1999: 179-187
23 Michael Schmitt, Jörg Brodersen, Georg Lietz, Frank Lomberg, Karl-Friedrich Kraiss: Kamerabasierte 3D-Rekonstruktion der Einsatzumgebung eines mobilen Roboters. AMS 1999: 356-365
22EEMichael Schmitt: VC dimension bounds for networks of spiking neurons. ESANN 1999: 429-434
21 Michael Schmitt, Martin Rous, Alexandros Matsikis, Karl-Friedrich Kraiss: Vision-Based Self-Localization of a Mobile Robot Using a Virtual Environment. ICRA 1999: 2911-2916
20EEMichael Schmitt: Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks. NIPS 1999: 328-334
19 Maximilian Ibel, Michael Schmitt, Klaus E. Schauser, Anurag Acharya: Shared Memory vs Message Passing on SCI: A Case Study Using Split-C. Scalable Coherent Interface 1999: 267-280
18EEMichael Schmitt: On the Sample Complexity for Nonoverlapping Neural Networks Electronic Colloquium on Computational Complexity (ECCC) 6(5): (1999)
17 Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding. Inf. Comput. 153(1): 26-46 (1999)
16 Michael Schmitt: On the Sample Complexity for Nonoverlapping Neural Networks. Machine Learning 37(2): 131-141 (1999)
1998
15EEMichael Schmitt: On the Sample Complexity for Neural Trees. ALT 1998: 375-384
14 Michael Schmitt, Martin Rous, Karl-Friedrich Kraiss: Ein Leitstand zur Einsatzplanung und Überwachung mobiler Roboter. AMS 1998: 148-155
13EEMichael Schmitt, Maximilian Ibel, Anurag Acharya, Klaus E. Schauser: Adaptive Receiver Notification for Non-Dedicated Workstation Clusters. IEEE PACT 1998: 256-263
12 Michael Schmitt, Thomas Krüger, Torsten Kuhlen, Karl-Friedrich Kraiss: Remore Virtual Reality - Ein Kommunikationssystem zur interaktiven Nutzung von Grafikanwendungen über ATM-Netze. Workshop Multimedia-Systeme, GI Jahrestagung 1998: 95-106
11 Michael Schmitt: On Computing Boolean Functions by a Spiking Neuron. Ann. Math. Artif. Intell. 24(1-4): 181-191 (1998)
10EEBerthold Ruf, Michael Schmitt: Self-organization of spiking neurons using action potential timing. IEEE Transactions on Neural Networks 9(3): 575-578 (1998)
9 Michael Schmitt: Identification Criteria and Lower Bounds for Perceptron-LikeLearning Rules. Neural Computation 10(1): 235-250 (1998)
1997
8EEWolfgang Maass, Michael Schmitt: On the Complexity of Learning for a Spiking Neuron (Extended Abstract). COLT 1997: 54-61
7 Berthold Ruf, Michael Schmitt: Unsupervised Learning in Networks of Spiking Neurons Using Temporal Coding. ICANN 1997: 361-366
6EEBerthold Ruf, Michael Schmitt: Hebbian Learning in Networks of Spiking Neurons Using Temporal Coding. IWANN 1997: 380-389
5EEWolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding Electronic Colloquium on Computational Complexity (ECCC) 4(49): (1997)
4EEMichael Schmitt: Proving Hardness of Neural Network Training Problems. Neural Networks 10(8): 1533-1534 (1997)
3 Berthold Ruf, Michael Schmitt: Learning Temporally Encoded Patterns in Networks of Spiking Neurons. Neural Processing Letters 5(1): 9-18 (1997)
1996
2EEThomas Natschläger, Michael Schmitt: Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 59(1): 19-20 (1996)
1EEThomas Natschläger, Michael Schmitt: Erratum: Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 60(2): 107 (1996)

Coauthor Index

1Sven Abels [50] [51]
2Anurag Acharya [13] [19]
3Birger Andersson [50] [51] [54]
4Maria Bergholtz [50] [51] [54]
5Jörg Brodersen [23]
6Eric Dubois [48] [50] [51]
7Ananda Edirisuriya [50] [51]
8Frauke Friedrichs [44]
9Claudia Gönner [28]
10Jaap Gordijn [50] [51]
11Bertrand Grégoire [50] [51] [52] [53] [54]
12Axel Hahn [50] [51]
13Maximilian Ibel [13] [19]
14Tharaka Ilayperuma [50] [51]
15Christophe Incoul [48]
16H. Jianxin [28]
17Paul Johannesson [50] [51] [54]
18Karl-Friedrich Kraiss [12] [14] [21] [23] [24] [28]
19Thomas Krüger [12]
20Torsten Kuhlen [12]
21Stefan Leidner [53]
22Georg Lietz [23]
23Frank Lomberg [23]
24Wolfgang Maass [5] [8] [17]
25Laura Martignon [47] [49]
26Alexandros Matsikis [21] [24] [28]
27Atsuyoshi Nakamura [42] [46]
28Thomas Natschläger [1] [2]
29Martin Rous [14] [21] [24] [28]
30Berthold Ruf [3] [6] [7] [10]
31Klaus E. Schauser [13] [19]
32Niels Schmitt [42] [46]
33Steffen Scholl [39]
34Hans-Ulrich Simon [42] [46]
35Michael Trefz [39]
36Benkt Wangler [50] [51]
37Hans Weigand [50] [51]
38Jelena Zdravkovic [54]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)