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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 1 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
TCBB
2010
176views more  TCBB 2010»
13 years 5 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
EDBT
2008
ACM
146views Database» more  EDBT 2008»
14 years 7 months ago
Attribute selection in multivariate microaggregation
Microaggregation is one of the most employed microdata protection methods. The idea is to build clusters of at least k original records, and then replace them with the centroid of...
Javier Herranz, Jordi Nin, Vicenç Torra
CDC
2008
IEEE
104views Control Systems» more  CDC 2008»
14 years 1 months ago
Delta modulation for multivariable centralized linear networked controlled systems
—This paper investigates the closed-loop properties of multivariable (MIMO1 ) linear systems where the sensed information is centralized and coded on the basis of a ∆-modulatio...
Jonathan Jaglin, Carlos Canudas de Wit, Cyrille Si...