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ORCIDRalph Neuneier
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Journal Articles
- 2002
[j5]Oliver Mihatsch, Ralph Neuneier:
Risk-Sensitive Reinforcement Learning. Mach. Learn. 49(2-3): 267-290 (2002)- 2001
- [j4]Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-Agent Market Modeling of Foreign Exchange Rates. Adv. Complex Syst. 4(1): 29-44 (2001) - [j3]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-agent modeling of multiple FX-markets by neural networks. IEEE Trans. Neural Networks 12(4): 735-743 (2001) - 1997
- [j2]Gustavo Deco, Ralph Neuneier, Bernd Schürmann:
Non-parametric Data Selection for Neural Learning in Non-stationary Time Series. Neural Networks 10(3): 401-407 (1997) - 1996
- [j1]Ralph Neuneier, Hans-Georg Zimmermann:
Neuro-Fuzzy Methoden in der Finanzanalyse. Künstliche Intell. 10(4): 55-58 (1996)
Conference and Workshop Papers
- 2005
- [c19]Carsten Stolz, Maximilian Viermetz, Michal Skubacz, Ralph Neuneier:
Improving Semantic Consistency of Web Sites by Quantifying User Intent. ICWE 2005: 308-317 - [c18]Carsten Stolz, Maximilian Viermetz, Michal Skubacz, Ralph Neuneier:
Guidance Performance Indicator - Web Metrics for Information Driven Web Sites. Web Intelligence 2005: 186-192 - 2004
- [c17]Carsten Stolz, Vassil Gedov, Kai Yu, Ralph Neuneier, Michal Skubacz:
Measuring Semantic Relations of Web Sites by Clustering of Local Context. ICWE 2004: 182-186 - [c16]Vassil Gedov, Carsten Stolz, Ralph Neuneier, Michal Skubacz, Dietmar Seipel:
Matching web site structure and content. WWW (Alternate Track Papers & Posters) 2004: 286-287 - 2002
- [c15]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Undershooting: modeling dynamical systems by time grid refinements. ESANN 2002: 395-400 - [c14]Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Ralph Neuneier:
Market Modeling Based on Cognitive Agents. ICANN 2002: 1061-1067 - 2001
- [c13]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-agent FX-Market Modeling Based on Cognitive Systems. ICANN 2001: 767-774 - [c12]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Active Portfolio-Management based on Error Correction Neural Networks. NIPS 2001: 1465-1472 - 2000
- [c11]Achim F. Müller, Hans-Georg Zimmermann, Ralph Neuneier:
Robust generation of symbolic prosody by a neural classifier based on autoassociators. ICASSP 2000: 1285-1288 - [c10]Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Modeling of the German Yield Curve by Error Correction Neural Networks. IDEAL 2000: 262-267 - 1998
- [c9]Ralph Neuneier, Oliver Mihatsch:
Risk Sensitive Reinforcement Learning. NIPS 1998: 1031-1037 - 1997
- [c8]Ralph Neuneier:
Enhancing Q-Learning for Optimal Asset Allocation. NIPS 1997: 936-942 - [c7]Hans-Georg Zimmermann, Ralph Neuneier:
The Observer-Observation Dilemma in Neuro-Forecasting. NIPS 1997: 992-998 - 1996
- [c6]Dirk Ormoneit, Ralph Neuneier:
Experiments in predicting the German stock index DAX with density estimating neural networks. CIFEr 1996: 66-71 - [c5]Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann:
Early Brain Damage. NIPS 1996: 669-675 - 1995
- [c4]Ralph Neuneier:
Optimal Asset Allocation using Adaptive Dynamic Programming. NIPS 1995: 952-958 - 1994
- [c3]Volker Tresp, Ralph Neuneier, Subutai Ahmad:
Efficient Methods for Dealing with Missing Data in Supervised Learning. NIPS 1994: 689-696 - 1993
- [c2]Martin F. Schlang, Klaus Abraham-Fuchs, Ralph Neuneier:
Klassifikation von biomagnetischen Feldmustern mit neuronalen Netzen. DAGM-Symposium 1993: 514-521 - [c1]Volker Tresp, Subutai Ahmad, Ralph Neuneier:
Training Neural Networks with Deficient Data. NIPS 1993: 128-135
Parts in Books or Collections
- 2012
- [p2]Ralph Neuneier, Hans-Georg Zimmermann:
How to Train Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 369-418 - 1996
- [p1]Ralph Neuneier, Hans-Georg Zimmermann:
How to Train Neural Networks. Neural Networks: Tricks of the Trade 1996: 373-423
Coauthor Index
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