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ANOR
2002
57views more  ANOR 2002»
14 years 10 months ago
Redefining Event Variables for Efficient Modeling of Continuous-Time Batch Processing
Abstract: We define events so as to reduce the number of events and decision variables needed for modeling batchscheduling problems such as described in [Westenberger and Kallrath ...
Siqun Wang, Monique Guignard
TIT
2008
123views more  TIT 2008»
14 years 10 months ago
Geometric Upper Bounds on Rates of Variable-Basis Approximation
In this paper, approximation by linear combinations of an increasing number n of computational units with adjustable parameters (such as perceptrons and radial basis functions) is ...
Vera Kurková, Marcello Sanguineti
EUROPAR
2009
Springer
14 years 8 months ago
Parallel Variable-Length Encoding on GPGPUs
Variable-Length Encoding (VLE) is a process of reducing input data size by replacing fixed-length data words with codewords of shorter length. As VLE is one of the main building bl...
Ana Balevic
SDM
2008
SIAM
95views Data Mining» more  SDM 2008»
14 years 11 months ago
Deterministic Latent Variable Models and Their Pitfalls
We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
Max Welling, Chaitanya Chemudugunta, Nathan Sutter
90
Voted
CP
2004
Springer
15 years 3 months ago
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio
It is well known that the ratio of the number of clauses to the number of variables in a random k-SAT instance is highly correlated with the instance’s empirical hardness. We con...
Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoo...