Publications

@article{alaiz-rodriguez_class_2011,

title = {Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift},

author = {Rocío Alaiz-Rodríguez and Alicia Guerrero-Curieses and Jesús Cid-Sueiro},

url = {https://www.sciencedirect.com/science/article/pii/S0925231211002359},

year  = {2011},

date = {2011-01-01},

journal = {Neurocomputing},

volume = {74},

number = {16},

pages = {2614–2623},

abstract = {This work proposes an algorithm to adapt classifiers when training and test data have different distributions. Unlike methods that adjust only class priors, it models changes at the subclass level without retraining. Experiments show better adaptation to new conditions.},

note = {Publisher: Elsevier},

keywords = {Changing Operational Conditions, Concept Drift, Imprecise Class Distribution, Imprecise Data Distribution, neural networks, Posterior Probability Estimation, Supervised Classification},

pubstate = {published},

tppubtype = {article}

}