TY - GEN
T1 - A classifier fitness measure based on Bayesian likelihoods
T2 - 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000
AU - Skabar, Andrew
AU - Maeder, Anthony
AU - Phanr, Binh
PY - 2000
Y1 - 2000
N2 - A classifier evaluation function based on Bayesian likelihoods of necessity and sufficiency is defined. This function can be used to measure the performance of an arbitrary classifier on a set of examples consisting of labeled positives together with a corpus of unlabeled data. A neural network system has been implemented in which the evaluation function is used as a heuristic to guide search through the space of network weight configurations. Results are presented from testing the system on three artificial datasets. The results are comparable to those that can be obtained using back-propagation, despite the fact that the latter method requires labeled counter-examples.
AB - A classifier evaluation function based on Bayesian likelihoods of necessity and sufficiency is defined. This function can be used to measure the performance of an arbitrary classifier on a set of examples consisting of labeled positives together with a corpus of unlabeled data. A neural network system has been implemented in which the evaluation function is used as a heuristic to guide search through the space of network weight configurations. Results are presented from testing the system on three artificial datasets. The results are comparable to those that can be obtained using back-propagation, despite the fact that the latter method requires labeled counter-examples.
UR - http://www.scopus.com/inward/record.url?scp=84867767032&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867767032
SN - 3540679251
SN - 9783540679257
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 177
EP - 187
BT - PRICAI 2000, Topics in Artificial Intelligence - 6th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Y2 - 28 August 2000 through 1 September 2000
ER -