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» Deriving Process Networks from Nested Loop Algorithms
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AAAI
1997
13 years 8 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
CN
2008
176views more  CN 2008»
13 years 7 months ago
ARQ-based cross-layer optimization for wireless multicarrier transmission on cognitive radio networks
The primary feature of cognitive radios for wireless communication systems is the capability to optimize the relevant communication parameters given a dynamic wireless channel env...
Alexandre de Baynast, Petri Mähönen, Mar...
GIS
2004
ACM
14 years 8 months ago
Supporting spatial aggregation in sensor network databases
Sensor networks are unattended deeply distributed systems whose schema can be conceptualized using the relational model. Aggregation queries on the data sampled at each ode are th...
Mehdi Sharifzadeh, Cyrus Shahabi
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 3 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
CISS
2010
IEEE
12 years 11 months ago
Cost constrained spectrum sensing in cognitive radio networks
—This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collec...
Gang Xiong, Shalinee Kishore, Aylin Yener