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» Adaptive linear models for regression: Improving prediction ...
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DAGSTUHL
2009
13 years 8 months ago
Improving Architecture-Based Self-Adaptation through Resource Prediction
An increasingly important concern for modern systems design is how best to incorporate self-adaptation into systems so as to improve their ability to dynamically respond to faults,...
Shang-Wen Cheng, Vahe Poladian, David Garlan, Brad...
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
14 years 7 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
14 years 2 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
ESEM
2007
ACM
13 years 11 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...