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ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 6 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
IJIT
2004
13 years 7 months ago
Combining ILP with Semi-supervised Learning for Web Page Categorization
This paper presents a semi-supervised learning algorithm called Iterative-Cross Training (ICT) to solve the Web pages classification problems. We apply Inductive logic programming ...
Nuanwan Soonthornphisaj, Boonserm Kijsirikul
COLT
2005
Springer
13 years 12 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
KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 6 months ago
Predicting rare classes: can boosting make any weak learner strong?
Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar