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» Using Prior Knowledge to Improve Distributed Hill Climbing
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COLCOM
2005
IEEE
13 years 10 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 8 months ago
Clustering the heap in multi-threaded applications for improved garbage collection
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...
Myra B. Cohen, Shiu Beng Kooi, Witawas Srisa-an
EOR
2006
125views more  EOR 2006»
13 years 5 months ago
A genetic algorithm for robotic assembly line balancing
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Gregory Levitin, Jacob Rubinovitz, Boris Shnits
BIOINFORMATICS
2012
11 years 7 months ago
Epigenetic priors for identifying active transcription factor binding sites
Motivation Accurate knowledge of the genome-wide binding of transcription factors in a particular cell type or under a particular condition is necessary for understanding transcri...
Gabriel Cuellar-Partida, Fabian A. Buske, Robert C...
ICCV
2009
IEEE
14 years 10 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...