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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
EURODAC
1995
IEEE
131views VHDL» more  EURODAC 1995»
13 years 11 months ago
System level design, a VHDL based approach
A hierarchical system design flow was developed to facilitate concurrent development and Time-to-Market reductions. The system design flow provides for codesign of (embedded) driv...
Joris van den Hurk, Edwin Dilling
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
STOC
2009
ACM
172views Algorithms» more  STOC 2009»
14 years 8 months ago
Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
Marek Karpinski, Warren Schudy
AOSD
2007
ACM
13 years 11 months ago
Efficiently mining crosscutting concerns through random walks
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Charles Zhang, Hans-Arno Jacobsen