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Boosting (machine learning)

Known as: Boost, Boosting (meta-algorithm), Boosting methods for object categorization 
Boosting is a machine learning ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine… 
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Related topics

Related topics

41 relations
AdaBoostAlternating decision treeBias–variance tradeoffBootstrap aggregating

Papers overview

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2011
2011
Boosted Learning of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval
In this paper, we investigate the bag-of-feature based medical image retrieval methods, which represent an image as a bag of… 
2009
2009
Training Data Cleaning for Text Classification
In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain… 
2006
2006
A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization
This paper is an empirical study on the performance of different discriminative approaches to reranking the N-best hypotheses… 
2004
2004
Combining classifiers for harmful document filtering
In this paper, we describe the experiments that we have carried out during the European Research Project NetProtect II that aims… 
2004
2004
REGULATION OF ELECTRICITY DISTRIBUTION BUSINESS
This paper focuses on the regulation of electricity distribution business. First, regulation principles of natural monopolies are… 
2003
2003
Fast Face Detection Using AdaBoost
Keywords: face_det ; lts5 Reference EPFL-STUDENT-86954 Record created on 2006-06-14, modified on 2017-05-10 
2003
2003
Improving genetic classifiers with a boosting algorithm
We present a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning… 
2002
2002
Learning to detect multi-view faces in real-time
In this paper, we present a system which learns to detect multi-view faces. The system uses a coarse-to-fine, simple-to-complex… 
2000
2000
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS
Boosting of tree-based classifiers has been interfaced to the Geographical Information System (GIS) GRASS to create predictive… 
1995
1995
REEXAMINING PRODUCTIVITY CSFs The Knowledge Worker Challenge
Boosting productivity is a goal shared by managers everywhere, but the path to increased productivity is not always clear. A…