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» Experiments with a New Boosting Algorithm
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ICML
2003
IEEE
15 years 10 months ago
Boosting Lazy Decision Trees
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
Xiaoli Zhang Fern, Carla E. Brodley
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
15 years 2 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
COLT
2005
Springer
15 years 3 months ago
Martingale Boosting
In recent work Long and Servedio [LS05] presented a “martingale boosting” algorithm that works by constructing a branching program over weak classifiers and has a simple anal...
Philip M. Long, Rocco A. Servedio
AVBPA
2005
Springer
256views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Modification of Intersession Variability in On-Line Signature Verifier
For Pen-input on-line signature verification algorithms, the influence of intersession variability is a considerable problem because hand-written signatures change with time, causi...
Yasunori Hongo, Daigo Muramatsu, Takashi Matsumoto
ICML
2004
IEEE
15 years 10 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...