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» Evaluating algorithms that learn from data streams
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MCS
2008
Springer
15 years 6 months ago
Study on shape creation of building's roof by evaluating aesthetic sensibility
The purpose of this study is to develop an optimum design method for roof shapes satisfying both aesthetic sensibility (beauty) and economic evaluation by using the genetic algori...
Kazutoshi Tsutsumi, Keisuke Sasaki
JMLR
2010
136views more  JMLR 2010»
15 years 1 months ago
Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery
In this paper we investigate the problem of evaluating ranked lists of biomarkers, which are typically an output of the analysis of high-throughput data. This can be a list of pro...
Ivica Slavkov, Bernard Zenko, Saso Dzeroski
184
Voted
ISCI
2008
124views more  ISCI 2008»
15 years 6 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
ECAI
2004
Springer
16 years 1 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 8 months ago
Confidence-Aware Join Algorithms
In uncertain and probabilistic databases, confidence values (or probabilities) are associated with each data item. Confidence values are assigned to query results based on combinin...
Parag Agrawal, Jennifer Widom