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ICAI
2007
15 years 5 months ago
Dynamic Programming Algorithm for Training Functional Networks
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...
Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa E...
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 1 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
VIS
2006
IEEE
117views Visualization» more  VIS 2006»
16 years 5 months ago
Transfer Function Fusing
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
GECCO
2010
Springer
227views Optimization» more  GECCO 2010»
15 years 7 months ago
Benchmarking SPSA on BBOB-2010 noisy function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
Steffen Finck, Hans-Georg Beyer
123
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SIAMDM
2008
90views more  SIAMDM 2008»
15 years 3 months ago
Maximizing Supermodular Functions on Product Lattices, with Application to Maximum Constraint Satisfaction
Recently, a strong link has been discovered between supermodularity on lattices and tractability of optimization problems known as maximum constraint satisfaction problems. The pre...
Andrei A. Krokhin, Benoit Larose