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» Decision making in very large networks
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WWW
2010
ACM
14 years 2 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
GLVLSI
2009
IEEE
126views VLSI» more  GLVLSI 2009»
13 years 11 months ago
An efficient cut enumeration for depth-optimum technology mapping for LUT-based FPGAs
Recent technology mappers for LUT based FPGAs employ cut enumeration. Although many cuts are often needed to nd good network, enumerating all cuts with large size consumes run-tim...
Taiga Takata, Yusuke Matsunaga
INFOCOM
2008
IEEE
14 years 1 months ago
On Reducing Mesh Delay for Peer-to-Peer Live Streaming
—Peer-to-peer (P2P) technology has emerged as a promising scalable solution for live streaming to large group. In this paper, we address the design of overlay which achieves low ...
Dongni Ren, Y.-T. Hillman Li, Shueng-Han Gary Chan
IWANN
1999
Springer
13 years 11 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
DSN
2005
IEEE
14 years 1 months ago
ReStore: Symptom Based Soft Error Detection in Microprocessors
Device scaling and large scale integration have led to growing concerns about soft errors in microprocessors. To date, in all but the most demanding applications, implementing par...
Nicholas J. Wang, Sanjay J. Patel