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» Benchmark Generation Using Domain Specific Modeling
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WSC
2000
15 years 7 months ago
Using simulation and critical points to define states in continuous search spaces
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
Marc S. Atkin, Paul R. Cohen
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
IJCAI
2003
15 years 7 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
BPM
2010
Springer
191views Business» more  BPM 2010»
15 years 7 months ago
Correctness Ensuring Process Configuration: An Approach Based on Partner Synthesis
Abstract. A configurable process model describes a family of similar process models in a given domain. Such a model can be configured to obtain a specific process model that is sub...
Wil M. P. van der Aalst, Niels Lohmann, Marcello L...
AAAI
1997
15 years 7 months ago
Case and Constraint-Based Apartment Construction Project Planning System: FASTrak-APT
To effectively generate a fast and consistent apartment construction project network, Hyundai and KAIST have developed a case and constraint based project planning expert system f...
Kyoung Jun Lee, Hyun Woo Kim, Jae Kyu Lee, Tae Hwa...