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COMSIS
2006
156views more  COMSIS 2006»
15 years 4 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 1 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
ACL
2010
15 years 2 months ago
Bitext Dependency Parsing with Bilingual Subtree Constraints
This paper proposes a dependency parsing method that uses bilingual constraints to improve the accuracy of parsing bilingual texts (bitexts). In our method, a targetside tree frag...
Wenliang Chen, Jun'ichi Kazama, Kentaro Torisawa
ICCS
2004
Springer
15 years 9 months ago
Point-Based Modeling from a Single Image
Abstract. The complexity of virtual environments has grown spectacularly over the recent years, mainly thanks to the use of the currently cheap high performance graphics cards. As ...
Pere-Pau Vázquez, Jordi Marco, Mateu Sbert
ECML
2007
Springer
15 years 10 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte