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» Evaluation Measures for Ordinal Regression
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EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
79
Voted
INFOCOM
2006
IEEE
15 years 3 months ago
Sleeping Coordination for Comprehensive Sensing Using Isotonic Regression and Domatic Partitions
— We address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while guaranteeing that values of sleeping nodes can be recov...
Farinaz Koushanfar, Nina Taft, Miodrag Potkonjak
BMCBI
2007
142views more  BMCBI 2007»
14 years 9 months ago
Predicting and improving the protein sequence alignment quality by support vector regression
Background: For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate seq...
Minho Lee, Chan-seok Jeong, Dongsup Kim
74
Voted
ICML
2003
IEEE
15 years 10 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
75
Voted
ESEM
2008
ACM
14 years 11 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...