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NIPS
2003
15 years 2 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
BMCBI
2006
122views more  BMCBI 2006»
15 years 1 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
WSC
2007
15 years 3 months ago
Regression models and experimental designs: a tutorial for simulation analysts
This tutorial explains the basics of linear regression metamodels—especially low-order polynomials—and the corresponding statistical designs—namely, fractional factorial des...
Jack P. C. Kleijnen
CVPR
2010
IEEE
14 years 11 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
CSDA
2008
120views more  CSDA 2008»
15 years 1 months ago
Tree-structured smooth transition regression models
ABSTRACT. This paper introduces a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression). The model is called t...
Joel Corrêa da Rosa, Alvaro Veiga, Marcelo C...