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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 5 months 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 22 days 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»
15 years 5 months 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»
14 years 9 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
14 years 11 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