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ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 7 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
FSS
2007
117views more  FSS 2007»
13 years 7 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 2 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
UAI
2003
13 years 9 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
ISCAS
2007
IEEE
89views Hardware» more  ISCAS 2007»
14 years 1 months ago
Generalized Blind Mismatch Correction for a Two-Channel Time-Interleaved ADC: Analytic Approach
—Time-interleaved analog-to-digital converters (TIADC) require mismatch calibration to achieve high signal-to-noise ratios. In this paper, we present a new blind technique for M=...
Munkyo Seo, Mark J. W. Rodwell