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SIAMJO
2010
83views more  SIAMJO 2010»
15 years 3 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
ICALP
2011
Springer
14 years 8 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
ASPLOS
2012
ACM
14 years 14 days ago
An update-aware storage system for low-locality update-intensive workloads
Traditional storage systems provide a simple read/write interface, which is inadequate for low-locality update-intensive workloads because it limits the disk scheduling flexibili...
Dilip Nijagal Simha, Maohua Lu, Tzi-cker Chiueh
JMLR
2012
13 years 7 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
142
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BMCBI
2002
129views more  BMCBI 2002»
15 years 4 months ago
SeqHound: biological sequence and structure database as a platform for bioinformatics research
Background: SeqHound has been developed as an integrated biological sequence, taxonomy, annotation and 3-D structure database system. It provides a high-performance server platfor...
Katerina Michalickova, Gary D. Bader, Michel Dumon...