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COMSIS
2006
156views more  COMSIS 2006»
15 years 6 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...
COLING
2007
15 years 6 months ago
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
cally identifying clinically relevant aspects of MEDLINE abstracts. These extracted elements serve as the input to an algorithm that scores the relevance of citations with respect ...
Dina Demner-Fushman, Jimmy J. Lin
KES
2008
Springer
15 years 6 months ago
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is a...
Shuji Sato, Kazuo Misue, Jiro Tanaka
PRL
2008
181views more  PRL 2008»
15 years 6 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
PAA
2006
15 years 6 months ago
Classifying image texture with statistical landscape features
This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface ap...
Cun Xu, Yan Chen