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» An ICA algorithm for analyzing multiple data sets
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ICPP
2008
IEEE
14 years 2 months ago
Parallel Inferencing for OWL Knowledge Bases
Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Ramakrishna Soma, Viktor K. Prasanna
KDD
1998
ACM
113views Data Mining» more  KDD 1998»
14 years 13 days ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
BMCBI
2005
122views more  BMCBI 2005»
13 years 8 months ago
Bayesian coestimation of phylogeny and sequence alignment
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...
Gerton Lunter, István Miklós, Alexei...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
SAC
2006
ACM
14 years 2 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal