Sciweavers

ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 7 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 9 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
14 years 1 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 8 months ago
Predicting rare classes: can boosting make any weak learner strong?
Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar