Sciweavers

8 search results - page 1 / 2
» Partial Resolution in Data Value Predictors
Sort
View
ICPP
2000
IEEE
13 years 9 months ago
Partial Resolution in Data Value Predictors
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...
Toshinori Sato, Itsujiro Arita
TDP
2010
124views more  TDP 2010»
13 years 3 months ago
Random Forests for Generating Partially Synthetic, Categorical Data
Abstract. Several national statistical agencies are now releasing partially synthetic, public use microdata. These comprise the units in the original database with sensitive or ide...
Gregory Caiola, Jerome P. Reiter
DAGSTUHL
2003
13 years 6 months ago
Data structures for 3D multi-tessellations: an overview
Abstract Multiresolution models support the interactive visualization of large volumetric data through selective refinement, an operation which permits to focus resolution only on...
Emanuele Danovaro, Leila De Floriani, Paola Magill...
ENVSOFT
2008
175views more  ENVSOFT 2008»
13 years 5 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
DIS
2009
Springer
13 years 11 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba