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» Approximate algorithms for neural-Bayesian approaches
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CORR
2010
Springer
170views Education» more  CORR 2010»
14 years 9 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein
ISPD
1998
ACM
99views Hardware» more  ISPD 1998»
15 years 1 months ago
New efficient algorithms for computing effective capacitance
We describe a novel iterationless approach for computing the effective capacitance of an interconnect load at a driving gate output. Our new approach is considerably faster than p...
Andrew B. Kahng, Sudhakar Muddu
PODS
2012
ACM
240views Database» more  PODS 2012»
13 years 4 days ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
SIAMDM
2008
139views more  SIAMDM 2008»
14 years 9 months ago
Approximate Integer Decompositions for Undirected Network Design Problems
A well-known theorem of Nash-Williams and Tutte gives a necessary and sufficient condition for the existence of k edge-disjoint spanning trees in an undirected graph. A corollary o...
Chandra Chekuri, F. Bruce Shepherd
IPSN
2009
Springer
15 years 4 months ago
Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...