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» Predicting relative performance of classifiers from samples
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NIPS
2004
13 years 10 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri
BIBM
2010
IEEE
286views Bioinformatics» more  BIBM 2010»
13 years 7 months ago
Evaluation of short read metagenomic assembly
Advances in sequencing technologies have equipped researchers with the ability to sequence the collective genome of entire microbial communities commonly referred to as metagenomi...
Anveshi Charuvaka, Huzefa Rangwala
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 11 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
EDM
2009
147views Data Mining» more  EDM 2009»
13 years 6 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
14 years 15 days ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki