30 search results - page 4 / 6 » Symmetric approximate linear programming for factored MDPs w... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
WAOA
2007
Springer
14 years 1 months ago
2007
Springer
We consider ranking and clustering problems related to the aggregation of inconsistent information. Ailon, Charikar, and Newman [1] proposed randomized constant factor approximatio...
DCC
2003
IEEE
14 years 7 months ago
2003
IEEE
This paper introduces a linear programming (LP) technique that performs ratedistortion based optimization for constrained video coding. Given the assumption of piecewise linear an...
CODES
2010
IEEE
13 years 5 months ago
2010
IEEE
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
AAAI
2000
13 years 8 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...