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ICMLA
2009
15 years 4 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
WSC
2008
15 years 9 months ago
Using agent technology to move from intention-based to effect-based models
Following current modeling paradigms, most processes are captured in the form of modeling a desired intent, often using success probabilities. In addition, only special roles that...
Andreas Tolk, Robert J. Bowen, Patrick T. Hester
WSC
2007
15 years 9 months ago
Composing simulation models using interface definitions based on web service descriptions
Using models in different contexts poses major integration challenges, ranging from technical to conceptual levels. Independently of each other developed model components cannot b...
Mathias Röhl, Stefan Morgenstern
AAAI
2004
15 years 8 months ago
Repeated Observation Models
Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
Avi Pfeffer
CCE
2004
15 years 6 months ago
Towards integrated information models for data and documents
Numerous approaches to information modeling exist within chemical engineering representing product data, work processes, or other information. These models have a limited scope an...
Birgit Bayer, Wolfgang Marquardt