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» A language for multiple models of computation
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ICASSP
2011
IEEE
14 years 1 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
ISPASS
2009
IEEE
15 years 4 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
IEEEPACT
2007
IEEE
15 years 4 months ago
Speculative Decoupled Software Pipelining
In recent years, microprocessor manufacturers have shifted their focus from single-core to multi-core processors. To avoid burdening programmers with the responsibility of paralle...
Neil Vachharajani, Ram Rangan, Easwaran Raman, Mat...
IMC
2006
ACM
15 years 3 months ago
Unexpected means of protocol inference
Network managers are inevitably called upon to associate network traffic with particular applications. Indeed, this operation is critical for a wide range of management functions...
Justin Ma, Kirill Levchenko, Christian Kreibich, S...
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