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SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 7 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
143
Voted
WSC
2000
15 years 7 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
JMM2
2008
92views more  JMM2 2008»
15 years 6 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
189
Voted
IFIP12
2009
15 years 3 months ago
User Recommendations based on Tensor Dimensionality Reduction
Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
Panagiotis Symeonidis
ET
2010
113views more  ET 2010»
15 years 3 months ago
Calibration and Test Time Reduction Techniques for Digitally-Calibrated Designs: an ADC Case Study
Modern mixed-signal/RF circuits with a digital calibration capability could achieve significant performance improvement through calibration. However, the calibration process often ...
Hsiu-Ming Chang, Kuan-Yu Lin, Kwang-Ting (Tim) Che...