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109
Voted
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 4 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
117
Voted
IMECS
2007
15 years 3 months ago
Metamodel-Assisted Global Search Using a Probing Technique
—This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Prob...
Anna Persson, Henrik Grimm, Amos Ng
EDBT
2004
ACM
139views Database» more  EDBT 2004»
16 years 2 months ago
Efficient Distributed Skylining for Web Information Systems
Though skyline queries already have claimed their place in retrieval over central databases, their application in Web information systems up to now was impossible due to the distri...
Wolf-Tilo Balke, Ulrich Güntzer, Jason Xin Zh...
164
Voted
TOG
2012
184views Communications» more  TOG 2012»
13 years 4 months ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang
PARELEC
2002
IEEE
15 years 7 months ago
Techniques for Optimization of Net Algorithms
In this paper, techniques for optimization of net algorithms describing parallel asynchronous computations and derived from cycling and branching behavioral descriptions are prese...
Anatoly Prihozhy, Daniel Mlynek, Michail Solomenni...