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FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICCD
2008
IEEE
124views Hardware» more  ICCD 2008»
16 years 3 months ago
Global bus route optimization with application to microarchitectural design exploration
— Circuit and processor designs will continue to increase in complexity for the foreseeable future. With these increasing sizes comes the use of wide buses to move large amounts ...
Dae Hyun Kim, Sung Kyu Lim
ISBI
2009
IEEE
16 years 1 months ago
Optimal Illumination Patterns for Fluorescence Tomography
Fluorescence tomography has become increasingly popular for detecting molecular targets for imaging gene expression and other cellular processes in vivo in small animal studies. I...
Joyita Dutta, Sangtae Ahn, Anand A. Joshi, Richard...
CEC
2008
IEEE
16 years 1 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
HPDC
2007
IEEE
16 years 26 days ago
A provisioning model and its comparison with best-effort for performance-cost optimization in grids
The resource availability in Grids is generally unpredictable due to the autonomous and shared nature of the Grid resources and stochastic nature of the workload resulting in a be...
Gurmeet Singh, Carl Kesselman, Ewa Deelman