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» Unsupervised learning in neural computation
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NCA
2007
IEEE
13 years 9 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
COMPUTER
2007
117views more  COMPUTER 2007»
13 years 9 months ago
Digital Technology and the Skills Shortage
ract in that they deal with sequences of sound or movement. Two social or personality skills can also be defined: Intrapersonal skill helps people perceive and control their own th...
W. Neville Holmes
MICCAI
2010
Springer
14 years 3 months ago
  A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...
A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...
IPPS
1998
IEEE
14 years 2 months ago
Multiprocessor Scheduling Using Mean-Field Annealing
This paper presents our work on the static task scheduling model using the mean-field annealing (MFA) technique. Mean-field annealing is a technique of thermostatic annealing that...
Shaharuddin Salleh, Albert Y. Zomaya
IPC
2007
IEEE
14 years 4 months ago
Mining User Models for Effective Adaptation of Context-Aware Applications
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to auto...
Shiu Lun Tsang, Siobhán Clarke