Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
We introduce new techniques for studying the structure of partial k-trees. In particular, we show that the complements of partial k-trees provide an intuitively-appealing character...
Abstract. Graded path quantifiers have been recently introduced and investigated as a useful framework for generalizing standard existential and universal path quantifiers in the b...
In this study, we investigate a cost-effective approach for protecting several multicast sessions from any link failure in an optical network. The approach, referred to as cross-s...
Narendra K. Singhal, Canhui Ou, Biswanath Mukherje...
In this paper, we present a near ML-achieving sphere decoding algorithm that reduces the number of search operations in the sphere-constrained search. Specifically, by adding a pro...