Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
One of the major setback preventing the mobile agent technology from being widely exploited is a lack of interoperability between heterogeneous mobile agent systems. In this paper...
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...