Quality versus quantity of rules in a classifier jury: extended abstract.
Jeffrey HornMatthew J. HollidayDylan J. ElliottJoshua A. ChomickiDavid A. PfeifferSteven M. ScheelLewis D. SteinerErik P. WisuriJames M. ZeitsJordan M. BalChelsea G. BurtonMicah A. EricksonNicholas D. McIntyre-WymaPublished in: GECCO (Companion) (2013)
Keyphrases
- extended abstract
- quantitative measures
- learning classifier systems
- high quality
- support vector machine
- learning algorithm
- classification rules
- quality assessment
- associative classifiers
- classifier systems
- feature set
- classification scheme
- false positives
- decision tree classifiers
- ensemble learning
- training samples
- recognition rate
- training set
- association rules
- feature space
- decision trees