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» Maximal Vector Computation in Large Data Sets
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138
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ML
2000
ACM
15 years 3 months ago
Maximizing Theory Accuracy Through Selective Reinterpretation
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walt...
SIGECOM
2010
ACM
219views ECommerce» more  SIGECOM 2010»
15 years 8 months ago
Revenue maximization with a single sample
We design and analyze approximately revenue-maximizing auctions in general single-parameter settings. Bidders have publicly observable attributes, and we assume that the valuation...
Peerapong Dhangwatnotai, Tim Roughgarden, Qiqi Yan
ICPR
2006
IEEE
16 years 5 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao
132
Voted
CAINE
2007
15 years 5 months ago
A Simple Fuzzy Neural Network
Our simple fuzzy neural network first thins the set of exemplar input feature vectors and then centers a Gaussian function on each remaining one and saves its associated output la...
Carl G. Looney, Sergiu Dascalu
IJCV
1998
233views more  IJCV 1998»
15 years 3 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker