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Book
778views
17 years 4 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...

Publication
172views
16 years 8 months ago
The Spatial Patterns Affecting Home to Work Distances of Two-Worker Households
Round-trips between home and work represent, for the majority of people, most of their daily commuting time; also, setting home and work places involves more constraints for two- ...
Surprenant-Legault, J and El-Geneidy A.
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
16 years 8 months ago
Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys
The suitability of Peer-to-Peer (P2P) approaches for fulltext web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retri...
Ivana Podnar, Martin Rajman, Toan Luu, Fabius Klem...
DAC
2005
ACM
16 years 7 months ago
Fault and energy-aware communication mapping with guaranteed latency for applications implemented on NoC
As feature sizes shrink, transient failures of on-chip network links become a critical problem. At the same time, many applications require guarantees on both message arrival prob...
Sorin Manolache, Petru Eles, Zebo Peng
DAC
2006
ACM
16 years 7 months ago
Prediction-based flow control for network-on-chip traffic
Networks-on-Chip (NoC) architectures provide a scalable solution to on-chip communication problem but the bandwidth offered by NoCs can be utilized efficiently only in presence of...
Ümit Y. Ogras, Radu Marculescu
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