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ML
2000
ACM
144views Machine Learning» more  ML 2000»
13 years 7 months ago
MultiBoosting: A Technique for Combining Boosting and Wagging
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
Geoffrey I. Webb
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 5 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ICASSP
2008
IEEE
14 years 2 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
ALT
2006
Springer
14 years 4 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
CORR
1998
Springer
110views Education» more  CORR 1998»
13 years 7 months ago
laboratories for Data Communications and Computer Networks
Abstract In this paper we describe a hands-on laboratory oriented instructional package that we have developed for data communications and networking. The package consists of a sof...
Rohit Goyal, Steve Lai, Raj Jain, Arjan Durresi