Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
: A number of indexing techniques have been proposed in recent times for optimizing the queries on XML and other semistructured data models. Most of the semistructured models use t...
Sanjay Kumar Madria, Yan Chen, Kalpdrum Passi, Sou...
Abstract. Recent advances in high-throughput experimental techniques have enabled the production of a wealth of protein interaction data, rich in both quantity and variety. While t...
Allister Bernard, David S. Vaughn, Alexander J. Ha...
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...