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ESANN
2006
15 years 3 months ago
Learning for stochastic dynamic programming
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
Sylvain Gelly, Jérémie Mary, Olivier...
AAAI
2010
15 years 3 months ago
Local Search in Histogram Construction
The problem of dividing a sequence of values into segments occurs in database systems, information retrieval, and knowledge management. The challenge is to select a finite number ...
Felix Halim, Panagiotis Karras, Roland H. C. Yap
FSE
1999
Springer
92views Cryptology» more  FSE 1999»
15 years 6 months ago
A New Characterization of Almost Bent Functions
We study the functions from Fm 2 into Fm 2 for odd m which oppose an optimal resistance to linear cryptanalysis. These functions are called almost bent. It is known that almost ben...
Anne Canteaut, Pascale Charpin, Hans Dobbertin
ICTAC
2005
Springer
15 years 7 months ago
Maximum Marking Problems with Accumulative Weight Functions
We present a new derivation of efficient algorithms for a class of optimization problems called maximum marking problems. We extend the class of weight functions used in the speciļ...
Isao Sasano, Mizuhito Ogawa, Zhenjiang Hu
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 7 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks