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» A rough set approach to multiple dataset analysis
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IDA
2007
Springer
15 years 1 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
FCCM
2002
IEEE
171views VLSI» more  FCCM 2002»
15 years 6 months ago
Coarse-Grain Pipelining on Multiple FPGA Architectures
Reconfigurable systems, and in particular, FPGA-based custom computing machines, offer a unique opportunity to define application-specific architectures. These architectures offer...
Heidi E. Ziegler, Byoungro So, Mary W. Hall, Pedro...
ISBI
2008
IEEE
16 years 2 months ago
Controlling the error in FMRI: Hypothesis testing or set estimation?
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 2 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
BMCBI
2006
155views more  BMCBI 2006»
15 years 1 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund