TY - GEN
T1 - Strangeness minimisation feature selection with confidence machines
AU - Bellotti, Tony
AU - Luo, Zhiyuan
AU - Gammerman, Alex
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - In this paper, we focus on the problem of feature selection with confidence machines (CM). CM allows us to make predictions within predefined confidence levels, thus providing a controlled and calibrated classification environment. We present a new feature selection method, namely Strangeness Minimisation Feature Selection, designed for CM. We apply this feature selection method to the problem of microarray classification and demonstrate its effectiveness.
AB - In this paper, we focus on the problem of feature selection with confidence machines (CM). CM allows us to make predictions within predefined confidence levels, thus providing a controlled and calibrated classification environment. We present a new feature selection method, namely Strangeness Minimisation Feature Selection, designed for CM. We apply this feature selection method to the problem of microarray classification and demonstrate its effectiveness.
UR - http://www.scopus.com/inward/record.url?scp=33750547083&partnerID=8YFLogxK
U2 - 10.1007/11875581_117
DO - 10.1007/11875581_117
M3 - Conference contribution
AN - SCOPUS:33750547083
SN - 3540454853
SN - 9783540454854
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 978
EP - 985
BT - Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
PB - Springer Verlag
T2 - 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
Y2 - 20 September 2006 through 23 September 2006
ER -