Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Despite extensive testing in the development phase, residual defects can be a great threat to dependability in the operational phase. This paper studies the utility of lowcost, ge...
Successful software development and management depends not only on the technologies, methods and processes employed but also on the judgments and decisions of the humans involved....
Robert Feldt, Lefteris Angelis, Richard Torkar, Ma...