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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 18 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
NIPS
2004
15 years 7 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 15 days ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
COGSCI
2010
65views more  COGSCI 2010»
15 years 4 months ago
Network Structure Influences Speech Production
Network science provides a new way to look at old questions in cognitive science by examining the structure of a complex system, and how that structure might influence processing....
Kit Ying Chan, Michael S. Vitevitch
ICASSP
2010
IEEE
15 years 6 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld