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» A Note on Covariances for Categorical Data
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IDEAL
2000
Springer
14 years 2 months ago
A Note on Covariances for Categorical Data
Generalization of the covariance concept is discussed for mixed categorical and numerical data. Gini's definition of variance for categorical data gives us a starting point to...
Takashi Okada
PAKDD
2005
ACM
164views Data Mining» more  PAKDD 2005»
14 years 4 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
Hirotaka Niitsuma, Takashi Okada
ACL
2008
14 years 11 days ago
A Hierarchical Approach to Encoding Medical Concepts for Clinical Notes
This paper proposes a hierarchical text categorization (TC) approach to encoding free-text clinical notes with ICD-9-CM codes. Preliminary experimental result on the 2007 Computat...
Yitao Zhang
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 11 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
ICCV
2007
IEEE
15 years 25 days ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...