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SIAMSC
2011
162views more  SIAMSC 2011»
15 years 1 months ago
Accelerating the LSTRS Algorithm
In a recent paper [Rojas, Santos, Sorensen: ACM ToMS 34 (2008), Article 11] an efficient method for solving the Large-Scale Trust-Region Subproblem was suggested which is based on ...
Jörg Lampe, Marielba Rojas, Danny C. Sorensen...
WWW
2009
ACM
16 years 7 months ago
Mining interesting locations and travel sequences from GPS trajectories
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
POPL
2010
ACM
16 years 4 months ago
Low-Level Liquid Types
We present Low-Level Liquid Types, a refinement type system for C based on Liquid Types. Low-Level Liquid Types combine refinement types with three key elements to automate verifi...
Ming Kawaguchi, Patrick Maxim Rondon, Ranjit Jhala
ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2008
83views more  BMCBI 2008»
15 years 7 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...