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SIAMJO
2010
83views more  SIAMJO 2010»
15 years 5 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 10 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 2 months 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 9 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...
BMCBI
2002
129views more  BMCBI 2002»
15 years 6 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...