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» Basic Observables for Processes
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ECML
2006
Springer
15 years 4 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
79
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IJCAI
2007
15 years 2 months ago
Automatic Gait Optimization with Gaussian Process Regression
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, D...
91
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NIPS
2003
15 years 2 months ago
Nonlinear Processing in LGN Neurons
According to the current standard model, neurons in lateral geniculate nucleus (LGN) operate linearly. There is, however, ample evidence that LGN responses are nonlinear. To accou...
Vincent Bonin, Valerio Mante, Matteo Carandini
VLSISP
2002
114views more  VLSISP 2002»
15 years 11 days ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
119
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EKNOW
2010
14 years 7 months ago
Workshop-Based Risk Assessment for the Definition of Secure Business Processes
Nowadays, industry and governments are faced with an increasing number of varying threats concerning the security of their valuable business processes. Due to the vast damage pote...
Thomas Neubauer, Markus Pehn