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» A Method for Dynamic Clustering of Data
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HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICCD
2003
IEEE
145views Hardware» more  ICCD 2003»
16 years 3 months ago
Care Bit Density and Test Cube Clusters: Multi-Level Compression Opportunities
: Most of the recently discussed and commercially introduced test stimulus data compression techniques are based on low care bit densities found in typical scan test vectors. Data ...
Bernd Könemann
JCB
2006
91views more  JCB 2006»
15 years 6 months ago
Reverse Engineering Discrete Dynamical Systems from Data Sets with Random Input Vectors
Recently a new algorithm for reverse engineering of biochemical networks was developed by Laubenbacher and Stigler. It is based on methods from computational algebra and finds mos...
Winfried Just
USENIX
1996
15 years 7 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
SSPR
2004
Springer
15 years 12 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja