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RTSS
1997
IEEE
15 years 10 months ago
On-the-fly symbolic model checking for real-time systems
This paper presents an on-the-fly and symbolic algorithm for checking whether a timed automaton satisfies a formula of a timed temporal logic which is more expressive than TCTL....
Ahmed Bouajjani, Stavros Tripakis, Sergio Yovine
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 6 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
EDM
2008
97views Data Mining» more  EDM 2008»
15 years 7 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
CSDA
2007
105views more  CSDA 2007»
15 years 6 months ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
JPDC
2007
184views more  JPDC 2007»
15 years 6 months ago
Modeling of concurrent web sessions with bounded inconsistency in shared data
Client interactions with modern web-accessible network services are typically organized into sessions involving multiple requests that read and write shared application data. Ther...
Alexander Totok, Vijay Karamcheti