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SIGIR
2012
ACM
13 years 6 days ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 4 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
SIAMJO
2011
14 years 4 months ago
A Unifying Polyhedral Approximation Framework for Convex Optimization
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
Dimitri P. Bertsekas, Huizhen Yu
BMCBI
2007
159views more  BMCBI 2007»
14 years 10 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...
DAC
2009
ACM
15 years 10 months ago
Handling don't-care conditions in high-level synthesis and application for reducing initialized registers
Don't-care conditions provide additional flexibility in logic synthesis and optimization. However, most work only focuses on the gate level because it is difficult to handle ...
Hong-Zu Chou, Kai-Hui Chang, Sy-Yen Kuo