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» Scalable data dissemination using hybrid methods
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MS
2003
13 years 9 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 6 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
DAC
2003
ACM
14 years 1 months ago
Low-power design methodology for an on-chip bus with adaptive bandwidth capability
This paper describes a low-power design methodology for a bus architecture based on hybrid current/voltage mode signaling for deep sub-micrometer on-chip interconnects that achiev...
Rizwan Bashirullah, Wentai Liu, Ralph K. Cavin III
DATE
1999
IEEE
134views Hardware» more  DATE 1999»
14 years 15 days ago
Verifying Imprecisely Working Arithmetic Circuits
If real number calculations are implemented as circuits, only a limited preciseness can be obtained. Hence, formal verification can not be used to prove the equivalence between th...
Michaela Huhn, Klaus Schneider, Thomas Kropf, Geor...
ECAI
2008
Springer
13 years 10 months ago
Belief revision with reinforcement learning for interactive object recognition
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
Thomas Leopold, Gabriele Kern-Isberner, Gabriele P...