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ACL
2004
15 years 3 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
BMCBI
2008
214views more  BMCBI 2008»
15 years 1 months ago
Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
BMCBI
2007
144views more  BMCBI 2007»
15 years 1 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
ICDM
2010
IEEE
276views Data Mining» more  ICDM 2010»
14 years 11 months ago
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
Many time series data mining problems require subsequence similarity search as a subroutine. While this can be performed with any distance measure, and dozens of distance measures ...
Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamon...
FPGA
2009
ACM
273views FPGA» more  FPGA 2009»
15 years 8 months ago
A parallel/vectorized double-precision exponential core to accelerate computational science applications
Many natural processes exhibit exponential decay and, consequently, computational scientists make extensive use of e−x in computer simulation experiments. While it is common to ...
Robin Pottathuparambil, Ron Sass