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JMLR
2010
179views more  JMLR 2010»
13 years 3 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
SADM
2010
141views more  SADM 2010»
13 years 3 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
AAAI
2012
11 years 11 months ago
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Swirls of ocean currents known as ocean eddies are a crucial component of the ocean’s dynamics. In addition to dominating the ocean’s kinetic energy, eddies play a significan...
James H. Faghmous, Yashu Chamber, Shyam Boriah, Fr...
FUZZIEEE
2007
IEEE
14 years 2 months ago
Mining and Predicting CpG islands
— A DNA sequence can be described as a string composed of four symbols: A, T, C and G. Each symbol represents a chemically distinct nucleotide molecule. Combinations of two nucle...
Christopher Previti, Oscar Harari, Coral del Val
CIBCB
2005
IEEE
14 years 2 months ago
Toward Protein Structure Analysis with Self-Organizing Maps
- Establishing structure-function relationships on the proteomic scale is a unique challenge faced by bioinformatics and molecular biosciences. Large protein families represent nat...
Lutz Hamel, Gongqin Sun, Jing Zhang