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» Learning with cost intervals
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KDD
2010
ACM
175views Data Mining» more  KDD 2010»
13 years 9 months ago
Learning with cost intervals
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
Xu-Ying Liu, Zhi-Hua Zhou
ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 5 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
APSEC
2004
IEEE
13 years 9 months ago
Modeling the Impact of a Learning Phase on the Business Value of a Pair Programming Project
Pair programmers need a "warmup phase" before the pair can work at full speed. The length of the learning interval varies, depending on how experienced the developers are...
Frank Padberg, Matthias M. Müller
LOCA
2009
Springer
13 years 11 months ago
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
Abstract. Wireless signal strength fingerprinting has become an increasingly popular technique for realizing indoor localization systems using existing WiFi infrastructures. Howev...
Philipp Bolliger, Kurt Partridge, Maurice Chu, Mar...
SSDBM
2002
IEEE
149views Database» more  SSDBM 2002»
13 years 10 months ago
A Cost Model for Interval Intersection Queries on RI-Trees
The efficient management of interval data represents a core requirement for many temporal and spatial database applications. With the Relational Interval Tree (RI-tree1 ), an effi...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...