The present study examines the relative importance of a series of known and expected factors that highly affect threat detection performance in aviation security X-ray screening. E...
Anton Bolfing, Tobias Halbherr, Adrian Schwaninger
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
The paper presents additional results on factorization by similarity of fuzzy concept lattices. A fuzzy concept lattice is a hierarchically ordered collection of clusters extracted...
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
We have designed and implemented an adaptive, confidence-based negotiation strategy for conducting multiple, concurrent negotiations among agents in dynamic, uncertain, and real-t...