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» Verification Under Increasing Dimensionality
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BMCBI
2006
202views more  BMCBI 2006»
14 years 11 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
EWCBR
2006
Springer
15 years 3 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
ML
2007
ACM
127views Machine Learning» more  ML 2007»
14 years 11 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 2 days ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
DAC
2003
ACM
16 years 19 days ago
Temporofunctional crosstalk noise analysis
Noise affects circuit operation by increasing gate delays and causing latches to capture incorrect values. This paper proposes a method of characterizing correlation of signal tra...
Donald Chai, Alex Kondratyev, Yajun Ran, Kenneth H...