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» Using Data Compressors to Construct Rank Tests
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BMCBI
2010
224views more  BMCBI 2010»
14 years 10 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
UM
2010
Springer
15 years 2 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
92
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IDA
2005
Springer
15 years 3 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
14 years 11 months ago
Fitness calculation approach for the switch-case construct in evolutionary testing
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin...
AIRS
2008
Springer
15 years 4 months ago
On the Construction of a Large Scale Chinese Web Test Collection
The lack of a large scale Chinese test collection is an obstacle to the Chinese information retrieval development. In order to address this issue, we built such a collection compos...
Hongfei Yan, Chong Chen, Bo Peng, Xiaoming Li