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IPPS
1999
IEEE
9 years 7 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
ICFP
2010
ACM
9 years 4 months ago
Lazy tree splitting
Nested data-parallelism (NDP) is a declarative style for programming irregular parallel applications. NDP languages provide language features favoring the NDP style, efficient com...
Lars Bergstrom, Mike Rainey, John H. Reppy, Adam S...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
9 years 1 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
FOCS
1992
IEEE
9 years 7 months ago
On the Fault Tolerance of Some Popular Bounded-Degree Networks
In this paper, we analyze the fault tolerance of several bounded-degree networks that are commonly used for parallel computation. Among other things, we show that an N-node butterf...
Frank Thomson Leighton, Bruce M. Maggs, Ramesh K. ...
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