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FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
13 years 9 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton
NIPS
1998
13 years 9 months ago
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
Yoram Singer, Manfred K. Warmuth
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 2 months ago
Statistical Learning Algorithm for Tree Similarity
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu
NIPS
2004
13 years 9 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICML
2007
IEEE
14 years 8 months ago
Robust mixtures in the presence of measurement errors
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
Ata Kabán, Jianyong Sun, Somak Raychaudhury