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NIPS
1989
14 years 10 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere
BMCBI
2008
116views more  BMCBI 2008»
14 years 9 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
MOBISYS
2008
ACM
15 years 9 months ago
Anonysense: privacy-aware people-centric sensing
Personal mobile devices are increasingly equipped with the capability to sense the physical world (through cameras, microphones, and accelerometers, for example) and the network w...
Cory Cornelius, Apu Kapadia, David Kotz, Daniel Pe...
SOSP
2007
ACM
15 years 6 months ago
MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs
Software defects significantly reduce system dependability. Among various types of software bugs, semantic and concurrency bugs are two of the most difficult to detect. This pape...
Shan Lu, Soyeon Park, Chongfeng Hu, Xiao Ma, Weiha...
IEEEPACT
2009
IEEE
15 years 4 months ago
Quantifying the Potential of Program Analysis Peripherals
Abstract—As programmers are asked to manage more complicated parallel machines, it is likely that they will become increasingly dependent on tools such as multi-threaded data rac...
Mohit Tiwari, Shashidhar Mysore, Timothy Sherwood