Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
There exist a number of algorithms that can solve dynamic constraint satisfaction/optimization problems (DynCSPs or DynCOPs). Because of the large variety in the characteristics o...
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
A new sensor network architecture called active sensor network (ASN) is proposed in this paper. By integrating multiple small, sensor network-friendly mobile robots into a traditi...
We are developing systems which play music on synthesized plucked strings instruments idiomatically. The present paper introduces a system focusing on the acoustic guitar. The sys...
The paper discusses the lexical description and runtime disambiguation of homographous prepositions and verbal particles in English using the Ontological Semantic (OntoSem) text p...
The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities...
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...