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COLT
2000
Springer
14 years 7 days ago
PAC Analogues of Perceptron and Winnow via Boosting the Margin
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Rocco A. Servedio
IJCAI
2007
13 years 9 months ago
Managing Domain Knowledge and Multiple Models with Boosting
We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are po...
Peng Zang, Charles Lee Isbell Jr.
EUSFLAT
2003
138views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Multirelational linguistic models
This paper regards the recurrent linguistic rule bases. These systems are considered as relational models with several relations. Such representation allows to use relation algebr...
Oleksandr Sokolov
SOFSEM
2001
Springer
14 years 9 days ago
Pipelined Decomposable BSP Computers
The class of weak parallel machines is interesting, because it contains some realistic parallel machine models, especially suitable for pipelined computations. We prove that a modi...
Martin Beran
CVPR
2007
IEEE
14 years 10 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu