Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Abstract. Geoscience analysis is currently limited by cumbersome access and manipulation of large datasets from remote sources. Due to their data-heavy and compute-light nature, th...
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...
Widespread adoption of reconfigurable devices requires system level synthesis techniques to take an application written in a high level language and map it to the reconfigurable d...
Lamping's optimalgraph reduction technique for the -calculus is generalized to a new class of higher order rewriting systems, called Interaction Systems. Interaction Systems ...
We investigate the optimality of (1+ )-approximation algorithms obtained via the dimensionality reduction method. We show that: • Any data structure for the (1 + )-approximate n...