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» Combining Estimators to Improve Performance
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PR
2010
158views more  PR 2010»
15 years 4 months ago
Out-of-bag estimation of the optimal sample size in bagging
The performance of m-out-of-n bagging with and without replacement in terms of the sampling ratio (m/n) is analyzed. Standard bagging uses resampling with replacement to generate ...
Gonzalo Martínez-Muñoz, Alberto Su&a...
KDD
2009
ACM
262views Data Mining» more  KDD 2009»
16 years 7 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence
WECWIS
2007
IEEE
130views ECommerce» more  WECWIS 2007»
16 years 20 days ago
Improved Rules for the Resource Allocation Design
Iterative Combinatorial Auctions (ICA) have been getting increasing attention both from researchers and in practice as they can increase efficiency of complex markets with substi...
Pasha Shabalin, Bernd Laqua, Alexander Pikovsky
WIRN
2005
Springer
15 years 12 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
SAT
2004
Springer
88views Hardware» more  SAT 2004»
15 years 11 months ago
Improving First-order Model Searching by Propositional Reasoning and Lemma Learning
The finite model generation problem in the first-order logic is a generalization of the propositional satisfiability (SAT) problem. An essential algorithm for solving the proble...
Zhuo Huang, Hantao Zhang, Jian Zhang