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» A Kernel Approach to Comparing Distributions
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ICCAD
2009
IEEE
179views Hardware» more  ICCAD 2009»
15 years 1 months ago
Automatic memory partitioning and scheduling for throughput and power optimization
Hardware acceleration is crucial in modern embedded system design to meet the explosive demands on performance and cost. Selected computation kernels for acceleration are usually ...
Jason Cong, Wei Jiang, Bin Liu, Yi Zou
BMCBI
2010
103views more  BMCBI 2010»
15 years 4 months ago
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Inkyung Jung, Akihisa Matsuyama, Minoru Yoshida, D...
142
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PVM
2007
Springer
15 years 10 months ago
Parallelizing Dense Linear Algebra Operations with Task Queues in
llc is a language based on C where parallelism is expressed using compiler directives. The llc compiler produces MPI code which can be ported to both shared and distributed memory ...
Antonio J. Dorta, José M. Badía, Enr...
PR
2008
104views more  PR 2008»
15 years 3 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
ICML
2007
IEEE
16 years 4 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...