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IDA
2002
Springer
13 years 7 months ago
Boosting strategy for classification
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
CIKM
2011
Springer
12 years 7 months ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum
LREC
2008
75views Education» more  LREC 2008»
13 years 9 months ago
Experimental Fast-Tracking of Morphological Analysers for Nguni Languages
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
IIS
2004
13 years 9 months ago
Query Selectivity Estimation via Data Mining
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...
Jarek Gryz, Dongming Liang
WEBI
2010
Springer
13 years 5 months ago
Exploiting Puzzle Diversity in Puzzle Selection for ESP-Like GWAP Systems
The ESP game belongs to the genre called Games with a Purpose (GWAP), which leverage people's desire to be entertained and also outsource certain steps of the computational p...
Yu-Song Syu, Hsiao-Hsuan Yu, Ling-Jyh Chen