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» GraphLab: A New Framework for Parallel Machine Learning
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SIGARCH
2008
94views more  SIGARCH 2008»
13 years 8 months ago
Parallelization, performance analysis, and algorithm consideration of Hough transform on chip multiprocessors
This paper presents a parallelization framework for emerging applications on the future chip multiprocessors (CMPs). With the continuing prevalence of CMP and the number of on-die...
Wenlong Li, Yen-Kuang Chen
ICML
2008
IEEE
14 years 9 months ago
Detecting statistical interactions with additive groves of trees
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Dan...
ICML
2006
IEEE
14 years 9 months ago
Inference with the Universum
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
Fabian H. Sinz, Jason Weston, Léon Bottou, ...
ML
2006
ACM
14 years 2 months ago
Ocsigen: typing web interaction with objective Caml
Ocsigen is a framework for programming highly dynamic web sites in Objective Caml. It allows to program sites as Ocaml applications and introduces new concepts to take into accoun...
Vincent Balat
AIED
2011
Springer
13 years 12 days ago
Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification
The Pedagogical Assessment Workflow System (PAWS) is a new workflow-based pedagogical assessment framework that enables the efficient and robust integration of diverse datasets for...
Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim