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» Newton's method and its use in optimization
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 7 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
USENIX
1996
13 years 9 months ago
Transparent Fault Tolerance for Parallel Applications on Networks of Workstations
This paper describes a new method for providingtransparent fault tolerance for parallel applications on a network of workstations. We have designed our method in the context of sh...
Daniel J. Scales, Monica S. Lam
CGO
2010
IEEE
14 years 2 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...
SENSYS
2003
ACM
14 years 27 days ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
HICSS
2002
IEEE
153views Biometrics» more  HICSS 2002»
14 years 19 days ago
Technology Supported Learning Applied to an Innovative, Integrated Curriculum for First-Year Engineering Majors
In September of 1998, the College of Engineering at the University of Massachusetts Dartmouth piloted an innovative, integrated, first-year curriculum. It dramatically changed 31 ...
Paul J. Fortier, Emily Fowler, Raymond N. Laoulach...