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DAGM
2010
Springer
15 years 7 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
ADCM
2010
129views more  ADCM 2010»
15 years 6 months ago
Construction of positive definite cubature formulae and approximation of functions via Voronoi tessellations
Let Rd be a compact convex set of positive measure. In a recent paper, we established a definiteness theory for cubature formulae of order two on . Here we study extremal propert...
Allal Guessab, Gerhard Schmeisser
CCE
2007
15 years 6 months ago
A systematic approach to plant-wide control based on thermodynamics
In this work, a systematic approach to plant-wide control design is proposed. The method combines ingredients from process networks, thermodynamics and systems theory to derive ro...
Luis T. Antelo, Irene Otero-Muras, Julio R. Banga,...
TCAD
2008
116views more  TCAD 2008»
15 years 6 months ago
Scalable Synthesis and Clustering Techniques Using Decision Diagrams
BDDs have proven to be an efficient means to represent and manipulate Boolean formulae [1] and sets [2] due to their compactness and canonicality. In this work, we leverage the eff...
Andrew C. Ling, Jianwen Zhu, Stephen Dean Brown
191
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KBS
2002
106views more  KBS 2002»
15 years 6 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen