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IFIP12
2008
13 years 9 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
MICRO
2000
IEEE
107views Hardware» more  MICRO 2000»
13 years 7 months ago
An integrated approach to accelerate data and predicate computations in hyperblocks
To exploit increased instruction-level parallelism available in modern processors, we describe the formation and optimization of tracenets, an integrated approach to reducing the ...
Alexandre E. Eichenberger, Waleed Meleis, Suman Ma...
IPPS
1999
IEEE
14 years 5 days ago
Irregular Parallel Algorithms in JAVA
The nested data-parallel programming model supports the design and implementation of irregular parallel algorithms. This paper describes work in progress to incorporate nested data...
Brian Blount, Siddhartha Chatterjee, Michael Phili...
LAWEB
2005
IEEE
14 years 1 months ago
A Parallel Search Engine with BSP
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is big...
Veronica Gil Costa, Mauricio Marín
ICCS
2009
Springer
14 years 2 months ago
Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm
Recent years have seen growth in the number of algorithms designed to solve challenging simulation-based nonlinear optimization problems. One such algorithm is the Trust-Region Par...
S. M. Shontz, V. E. Howle, P. D. Hough