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ECML
2003
Springer
13 years 10 months ago
Experiments with Cost-Sensitive Feature Evaluation
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
Marko Robnik-Sikonja
SIGMOD
2005
ACM
126views Database» more  SIGMOD 2005»
14 years 5 months ago
Cost-Sensitive Reordering of Navigational Primitives
We present a method to evaluate path queries based on the novel concept of partial path instances. Our method (1) maximizes performance by means of sequential scans or asynchronou...
Carl-Christian Kanne, Matthias Brantner, Guido Moe...
DATE
2004
IEEE
143views Hardware» more  DATE 2004»
13 years 9 months ago
Fault-Tolerant Deployment of Embedded Software for Cost-Sensitive Real-Time Feedback-Control Applications
Designing cost-sensitive real-time control systems for safetycritical applications requires a careful analysis of the cost/coverage trade-offs of fault-tolerant solutions. This fu...
Claudio Pinello, Luca P. Carloni, Alberto L. Sangi...
COLING
2010
13 years 7 days ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
13 years 11 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner