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AI
2011
Springer
15 years 18 hour ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
DKE
2011
260views Education» more  DKE 2011»
14 years 8 months ago
Analysis on demand: Instantaneous soundness checking of industrial business process models
We report on a case study on control-flow analysis of business process models. We checked 735 industrial business process models from financial services, telecommunications, and...
Dirk Fahland, Cédric Favre, Jana Koehler, N...
FASE
2007
Springer
15 years 11 months ago
Flexible and Extensible Notations for Modeling Languages
Abstract. In model-based development, a formal description of the software (the model) is the central artifact that drives other development activities. The availability of a model...
Jimin Gao, Mats Per Erik Heimdahl, Eric Van Wyk
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
15 years 11 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
DAC
2006
ACM
15 years 11 months ago
Modeling and analysis of circuit performance of ballistic CNFET
With the advent of carbon nanotube technology, evaluating circuit and system performance using these devices is becoming extremely important. In this paper, we propose a quasi-ana...
Bipul C. Paul, Shinobu Fujita, Masaki Okajima, Tho...