Sciweavers

10594 search results - page 112 / 2119
» Learning classifier systems
Sort
View
ICML
2000
IEEE
16 years 2 months ago
Complete Cross-Validation for Nearest Neighbor Classifiers
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
Matthew D. Mullin, Rahul Sukthankar
ML
2006
ACM
109views Machine Learning» more  ML 2006»
15 years 1 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
SEKE
2009
Springer
15 years 8 months ago
Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
Code review is often suggested as a means of improving code quality. Since humans are poor at repetitive tasks, some form of tool support is valuable. To that end we developed a p...
Stefan Axelsson, Dejan Baca, Robert Feldt, Darius ...
WWW
2007
ACM
16 years 2 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
CONEXT
2007
ACM
15 years 3 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek