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ML
2000
ACM
13 years 7 months ago
Randomizing Outputs to Increase Prediction Accuracy
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
Leo Breiman
ICMS
2010
13 years 6 months ago
The Reformulation-Optimization Software Engine
Abstract. Most optimization software performs numerical computation, in the sense that the main interest is to find numerical values to assign to the decision variables, e.g. a so...
Leo Liberti, Sonia Cafieri, David Savourey
ICCV
2007
IEEE
14 years 9 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady
HICSS
2003
IEEE
82views Biometrics» more  HICSS 2003»
14 years 23 days ago
Virtual Science Centers: A New Genre of Learning in Web-based Promotion of Science Education
The opening of a virtual annexe by science centers has given rise to a new genre of learning in web-based education. Seeking to enhance the outreach effectiveness of non-formal sc...
Leo Tan Wee Hin, R. Subramaniam, Anil K. Aggarwal
ISM
2006
IEEE
377views Multimedia» more  ISM 2006»
14 years 1 months ago
Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach
1 In this paper a data driven analysis of FelderSilverman Index of Learning Styles (ILS) is given. Results, obtained by Multiple Correspondence Analysis and cross-validated by cor...
Silvia Rita Viola, Sabine Graf, Kinshuk, Tommaso L...