Background: The most common substitution matrices currently used (BLOSUM and PAM) are based on protein sequences with average amino acid distributions, thus they do not represent ...
The current state of the art concerning the problem of service substitution raises the following issue: the complexity of the substitution process scales up with the number of ava...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Social factors, such as status differences, may prevent some members from participating in group decisions. Computerized group decision support systems (GDSSs) can reduce social i...
John Davis, Melora Zaner, Shelly Farnham, Cezary M...