945 search results - page 2 / 189 » Improved Boosting Algorithms using Confidence-Rated Predicti... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
JMLR
2002
13 years 5 months ago
2002
We construct a framework which allows an algorithm to turn the distributions produced by some boosting algorithms into polynomially smooth distributions (w.r.t. the PAC oracle...
IJCAI
2007
13 years 7 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
PAKDD
2000
ACM
13 years 9 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
ICMLA
2010
13 years 4 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...