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» On the local optimality of LambdaRank
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AAAI
2010
14 years 6 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
TOG
2010
87views more  TOG 2010»
14 years 4 months ago
Optimizing continuity in multiscale imagery
Multiscale imagery often combines several sources with differing appearance. For instance, Internet-based maps contain satellite and aerial photography. Zooming within these maps ...
Charles Han, Hugues Hoppe
INFOCOM
2011
IEEE
14 years 1 months ago
Optimizing network-coded cooperative communications via joint session grouping and relay node selection
Abstract—Network-coded cooperative communications (NCCC) is a new paradigm in wireless networks that employs network coding (NC) to improve the performance of CC. The core mechan...
Sushant Sharma, Yi Shi, Y. Thomas Hou, Hanif D. Sh...
GECCO
2004
Springer
15 years 3 months ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
POPL
2005
ACM
15 years 10 months ago
Automated soundness proofs for dataflow analyses and transformations via local rules
We present Rhodium, a new language for writing compiler optimizations that can be automatically proved sound. Unlike our previous work on Cobalt, Rhodium expresses optimizations u...
Sorin Lerner, Todd D. Millstein, Erika Rice, Craig...