A pattern classification analysis tool that potentially increased brain tumor diagnostic procedures. By taking an information picture, assign significance to different viewpoints in the picture and ...

Abstract: The missing data in incomplete pattern can have different estimations, and the classification result of pattern with different estimations may be quite distinct. Such uncertainty (ambiguity) ...

Two pattern classification problem using Radial Basis Functions (RBF) Neural Networks, with center vectors selected via self-organizing map (SOM) neural networks.

In daily life, individuals frequently make trade-offs between the small-but-immediate benefits and large-but-delayed profits. This type of decision is known as intertemporal choice. Previous studies ...

Abstract: In pattern classification, there exists a challenging problem when there are no training patterns. In some real applications, there may exist some labeled data in other related domain ...