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ECML
2004
Springer
14 years 2 months ago
A Boosting Approach to Multiple Instance Learning
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
Peter Auer, Ronald Ortner
HPDC
1997
IEEE
14 years 27 days ago
Packing Messages as a Tool for Boosting the Performance of Total Ordering Protocols
This paper compares the throughput and latency of four protocols that provide total ordering. Two of these protocols are measured with and without message packing. We used a techn...
Roy Friedman, Robbert van Renesse
ICML
2004
IEEE
14 years 9 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 8 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
14 years 2 months ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang