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BMCBI
2006
153views more  BMCBI 2006»
14 years 9 months ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
BMCBI
2007
110views more  BMCBI 2007»
14 years 9 months ago
Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
Background: The design of long oligonucleotides for spotted DNA microarrays requires detailed attention to ensure their optimal performance in the hybridization process. The main ...
Guangan Hu, Manuel Llinás, Jingguang Li, Pe...
QEST
2008
IEEE
15 years 3 months ago
Quantitative Model-Checking of One-Clock Timed Automata under Probabilistic Semantics
In [3] a probabilistic semantics for timed automata has been defined in order to rule out unlikely (sequences of) events. The qualitative model-checking problem for LTL propertie...
Nathalie Bertrand, Patricia Bouyer, Thomas Brihaye...
DAMON
2006
Springer
15 years 1 months ago
Processing-in-memory technology for knowledge discovery algorithms
The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent ...
Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chal...
TNN
2008
138views more  TNN 2008»
14 years 9 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany