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ICML
2004
IEEE
16 years 7 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
CHI
2009
ACM
16 years 7 months ago
Can I borrow your phone?: understanding concerns when sharing mobile phones
Mobile phones are becoming increasingly personalized in terms of the data they store and the types of services they provide. At the same time, field studies have reported that the...
Amy K. Karlson, A. J. Bernheim Brush, Stuart E. Sc...
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 4 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 25 days ago
News Aware Volatility Forecasting: Is the Content of News Important?
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...
Calum Robertson, Shlomo Geva, Rodney Wolff
ICCBR
2007
Springer
16 years 24 days ago
Acquiring Word Similarities with Higher Order Association Mining
We present a novel approach to mine word similarity in Textual Case Based Reasoning. We exploit indirect associations of words, in addition to direct ones for estimating their simi...
Sutanu Chakraborti, Nirmalie Wiratunga, Robert Lot...