We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Relay selection for cooperative communications promises significant performance improvements, and is, therefore, attracting, considerable attention. While several criteria have be...
In this paper we address the problem of devising a set of indexes for a nested object hierarchy in an object-oriented database to improve the overall system performance. It is not...
Sudarshan S. Chawathe, Ming-Syan Chen, Philip S. Y...