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» A general model for clustering binary data
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CGA
1999
13 years 8 months ago
Visualizing Large Telecommunication Data Sets
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
WWW
2006
ACM
14 years 2 months ago
Using proportional transportation similarity with learned element semantics for XML document clustering
This paper proposes a novel approach to measuring XML document similarity by taking into account the semantics between XML elements. The motivation of the proposed approach is to ...
Xiaojun Wan, Jianwu Yang
JMLR
2010
218views more  JMLR 2010»
13 years 3 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
CSDA
2010
208views more  CSDA 2010»
13 years 9 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...