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» Parametric Process Model Inference
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IPPS
2006
IEEE
14 years 2 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
CP
2004
Springer
14 years 2 months ago
Leveraging the Learning Power of Examples in Automated Constraint Acquisition
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
Christian Bessière, Remi Coletta, Eugene C....
POPL
1999
ACM
14 years 1 months ago
Type-Safe Linking and Modular Assembly Language
Linking is a low-level task that is usually vaguely specified, if at all, by language definitions. However, the security of web browsers and other extensible systems depends cru...
Neal Glew, J. Gregory Morrisett
ITS
1992
Springer
152views Multimedia» more  ITS 1992»
14 years 24 days ago
People Power: A Human-Computer Collaborative Learning System
Abstract. This paper reports our research work in the new field of humancomputer collaborative learning (HCCL). The general architecture of an HCCL is defined. An HCCL system, call...
Pierre Dillenbourg, John A. Self
CEC
2007
IEEE
14 years 22 days ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang