An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. P...
Recognizing geographical concepts such as ridges, valleys, and contour lines is an important issue in geography learning. We provide a system for automatic recognition of such con...
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...