The importance of defining a standard framework for agent communication languages (ACL) with a simple, clear, and a verifiable semantics has been widely recognized. This paper pro...
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
It is difficult to write programs that behave correctly in the presence of exceptions. We describe a dataflow analysis for finding a certain class of mistakes made while programs h...
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
In a pattern classification setup, image segmentation is achieved by assigning each pixel to one of two classes: object or background. The special case of vessel segmentation is c...