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NIPS
2001
15 years 8 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
CMG
1996
15 years 8 months ago
Discovering The Relationships Between Metrics
Consider yourself faced with learning about a new system. You have lots of measurements available, but you really don't know which measurements affect the values of others. H...
Bernard Domanski
JMLR
2010
104views more  JMLR 2010»
15 years 1 months ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...
SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
14 years 9 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
16 years 23 days ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann