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» Hierarchical Mixture Models for Nested Data Structures
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BMCBI
2010
171views more  BMCBI 2010»
13 years 8 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
CSDA
2006
85views more  CSDA 2006»
13 years 8 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha
TNN
2010
148views Management» more  TNN 2010»
13 years 3 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
VLDB
2002
ACM
118views Database» more  VLDB 2002»
13 years 8 months ago
Translating Web Data
We present a novel framework for mapping between any combination of XML and relational schemas, in which a high-level, userspecified mapping is translated into semantically meanin...
Lucian Popa, Yannis Velegrakis, Renée J. Mi...
CSL
2009
Springer
14 years 3 months ago
Nested Hoare Triples and Frame Rules for Higher-Order Store
Separation logic is a Hoare-style logic for reasoning about programs with heap-allocated mutable data structures. As a step toward extending separation logic to high-level language...
Jan Schwinghammer, Lars Birkedal, Bernhard Reus, H...