In this paper, we propose a class of incentive schemes based on intervention. We develop a general game-theoretic framework for the design of intervention schemes under imperfect m...
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Online Transaction Processing (OLTP) databases include a suite of features -- disk-resident B-trees and heap files, locking-based concurrency control, support for multi-threading ...
Stavros Harizopoulos, Daniel J. Abadi, Samuel Madd...
The progressive trend of fabrication technologies towards the nanometer regime has created a number of new physical design challenges for computer architects. Design complexity, u...
Todd M. Austin, Valeria Bertacco, David Blaauw, Tr...