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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 2 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
GPC
2007
Springer
15 years 6 months ago
Optimizing Server Placement for QoS Requirements in Hierarchical Grid Environments
This paper focuses on two problems related to QoS-aware I/O server placement in hierarchical Grid environments. Given a hierarchical network with requests from clients, the network...
Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-M...
TWC
2008
177views more  TWC 2008»
14 years 11 months ago
Generalized Design of Multi-User MIMO Precoding Matrices
In this paper we introduce a novel linear precoding technique. The approach used for the design of the precoding matrix is general and the resulting algorithm can address several o...
Veljko Stankovic, Martin Haardt
ICCAD
2004
IEEE
180views Hardware» more  ICCAD 2004»
15 years 8 months ago
Physical placement driven by sequential timing analysis
Traditional timing-driven placement considers only combinational delays and does not take into account the potential of subsequent sequential optimization steps. As a result, the ...
Aaron P. Hurst, Philip Chong, Andreas Kuehlmann
ATAL
2007
Springer
15 years 6 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...