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BMCBI
2006
165views more  BMCBI 2006»
15 years 4 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
TOG
2012
212views Communications» more  TOG 2012»
13 years 6 months ago
Understanding and improving the realism of image composites
Compositing is one of the most commonly performed operations in computer graphics. A realistic composite requires adjusting the appearance of the foreground and background so that...
Su Xue, Aseem Agarwala, Julie Dorsey, Holly E. Rus...
GECCO
2004
Springer
15 years 9 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
143
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ARCS
2009
Springer
15 years 10 months ago
Improving Memory Subsystem Performance Using ViVA: Virtual Vector Architecture
The disparity between microprocessor clock frequencies and memory latency is a primary reason why many demanding applications run well below peak achievable performance. Software c...
Joseph Gebis, Leonid Oliker, John Shalf, Samuel Wi...
PLDI
2005
ACM
15 years 9 months ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve