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IJCAI
2003
14 years 11 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
UAI
2004
14 years 11 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
IQ
2003
14 years 11 months ago
ClueMaker: A Language for Approximate Record Matching
We introduce ClueMaker, the first language designed specifically for approximate record matching. Clues written in ClueMaker predict whether two records denote the same thing based...
Martin Buechi, Andrew Borthwick, Adam Winkel, Arth...
NAACL
2003
14 years 11 months ago
In Question Answering, Two Heads Are Better Than One
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
NIPS
2003
14 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
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