89 search results - page 6 / 18 » TADD: A Computational Framework for Data Analysis Using Disc... |
JMLR
2012
11 years 10 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
ECSQARU
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The Transferable Belief Model (TBM) relies on belief functions and enables one to represent and combine a variety of knowledge from certain up to ignorance as well as con...
COMPLEX
2009
Springer
14 years 2 months ago
2009
Springer
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
TNN
2008
13 years 7 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...