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» Approximate algorithms for neural-Bayesian approaches
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2009
IEEE
15 years 4 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell
ICCBR
2009
Springer
15 years 4 months ago
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...
Hua Li, Héctor Muñoz-Avila, Diane Br...
DAC
2009
ACM
15 years 1 months ago
Fast vectorless power grid verification using an approximate inverse technique
Power grid verification in modern integrated circuits is an integral part of early system design where adjustments can be most easily incorporated. In this work, we describe an ea...
Nahi H. Abdul Ghani, Farid N. Najm
ICDE
2006
IEEE
266views Database» more  ICDE 2006»
15 years 11 months ago
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
Todays abundance of storage coupled with digital technologies in virtually any scientific or commercial application such as medical and biological imaging or music archives deal w...
Ira Assent, Andrea Wenning, Thomas Seidl
ICASSP
2008
IEEE
15 years 4 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...