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» Clustering by pattern similarity in large data sets
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DSN
2005
IEEE
15 years 12 months ago
A Wavefront Parallelisation of CTMC Solution Using MTBDDs
In this paper, we present a parallel implementation for the steady-state analysis of continuous-time Markov chains (CTMCs). This analysis is performed via solution of a linear equ...
Yi Zhang, David Parker, Marta Z. Kwiatkowska
EMNLP
2010
15 years 4 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
BMCBI
2006
145views more  BMCBI 2006»
15 years 6 months ago
Querying the public databases for sequences using complex keywords contained in the feature lines
Background: High throughput technologies often require the retrieval of large data sets of sequences. Retrieval of EMBL or GenBank entries using keywords is easy using tools such ...
Olivier Croce, Michaël Lamarre, Richard Chris...
BMCBI
2006
116views more  BMCBI 2006»
15 years 6 months ago
HotSwap for bioinformatics: A STRAP tutorial
Background: Bioinformatics applications are now routinely used to analyze large amounts of data. Application development often requires many cycles of optimization, compiling, and...
Christoph Gille, Peter N. Robinson
NSDI
2007
15 years 8 months ago
Ricochet: Lateral Error Correction for Time-Critical Multicast
Ricochet is a low-latency reliable multicast protocol designed for time-critical clustered applications. It uses IP Multicast to transmit data and recovers from packet loss in end...
Mahesh Balakrishnan, Kenneth P. Birman, Amar Phani...