While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
With the ever expanding Web and the information published on it, effective tools for managing such data and presenting information to users based on their needs are becoming nece...
To detect players who are engaged in real-money trading (RMT) in massively multi-player online role-playing games (MMORPGs), behavior of players was analyzed using log data of a c...