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BMCBI
2006
126views more  BMCBI 2006»
13 years 8 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
COR
2006
96views more  COR 2006»
13 years 8 months ago
Scheduling two parallel machines with a single server: the general case
This paper considers the problem of scheduling two-operation non-preemptable jobs on two identical semiautomatic machines. A single server is available to carry out the first (or ...
Amir H. Abdekhodaee, Andrew Wirth, Heng-Soon Gan
EAAI
2006
123views more  EAAI 2006»
13 years 8 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
ENGL
2006
84views more  ENGL 2006»
13 years 8 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
IJCIA
2006
88views more  IJCIA 2006»
13 years 8 months ago
Multi-Learner Based Recursive Supervised Training
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...