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» Benchmarking the Task Graph Scheduling Algorithms
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FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
15 years 21 days ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
BMCBI
2008
228views more  BMCBI 2008»
15 years 19 days ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
115
Voted
LCTRTS
2009
Springer
15 years 7 months ago
Synergistic execution of stream programs on multicores with accelerators
The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. The StreamIt graphs describe task, da...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
113
Voted
BMCBI
2008
174views more  BMCBI 2008»
15 years 19 days ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
107
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 18 days ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná