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» Evaluating Adaptive Problem Selection
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DATE
2009
IEEE
171views Hardware» more  DATE 2009»
15 years 7 months ago
Physically clustered forward body biasing for variability compensation in nanometer CMOS design
Nanometer CMOS scaling has resulted in greatly increased circuit variability, with extremely adverse consequences on design predictability and yield. A number of recent works have...
Ashoka Visweswara Sathanur, Antonio Pullini, Luca ...
COMCOM
1998
102views more  COMCOM 1998»
15 years 3 months ago
Preferred link based delay-constrained least-cost routing in wide area networks
Multimedia applications involving digital audio and/or digital video transmissions require strict QoS constraints (end-to-end delay bound, bandwidth availability, packet loss rate...
R. Sriram, Govindarasu Manimaran, C. Siva Ram Murt...
179
Voted
MDM
2010
Springer
188views Communications» more  MDM 2010»
15 years 2 months ago
A Distributed Technique for Dynamic Operator Placement in Wireless Sensor Networks
—We present an optimal distributed algorithm to adapt the placement of a single operator in high communication cost networks, such as a wireless sensor network. Our parameterfree...
Georgios Chatzimilioudis, Nikos Mamoulis, Dimitrio...

Book
778views
17 years 1 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
KDD
2008
ACM
207views Data Mining» more  KDD 2008»
16 years 4 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du