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» Scalable, updatable predictive models for sequence data
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RECOMB
2010
Springer
13 years 10 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song
INFOSCALE
2006
ACM
14 years 2 months ago
A predictive approach to achieving consistency in cooperative caching in MANET
Cooperative caching is a very important technique for efficient data dissemination and sharing in mobile ad hoc networks (MANETs). Many applications have requirements on the consi...
Yu Huang 0002, Jiannong Cao, Beihong Jin
NAR
2011
257views Computer Vision» more  NAR 2011»
12 years 11 months ago
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. To...
Damian Szklarczyk, Andrea Franceschini, Michael Ku...
NPL
2006
85views more  NPL 2006»
13 years 9 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
TCSV
2008
129views more  TCSV 2008»
13 years 9 months ago
Efficient Architecture Design of Motion-Compensated Temporal Filtering/Motion Compensated Prediction Engine
Since motion-compensated temporal filtering (MCTF) becomes an important temporal prediction scheme in video coding algorithms, this paper presents an efficient temporal prediction ...
Yi-Hau Chen, Chih-Chi Cheng, Tzu-Der Chuang, Ching...