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» Embedding Heterogeneous Data Using Statistical Models
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103
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ICML
2006
IEEE
16 years 1 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
119
Voted
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 1 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
91
Voted
ADVIS
2004
Springer
15 years 4 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
123
Voted
BMCBI
2011
14 years 7 months ago
Identifying hypermethylated CpG islands using a quantile regression model
Background: DNA methylation has been shown to play an important role in the silencing of tumor suppressor genes in various tumor types. In order to have a system-wide understandin...
Shuying Sun, Zhengyi Chen, Pearlly Yan, Yi-Wen Hua...
COGSCI
2008
90views more  COGSCI 2008»
15 years 12 days ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...