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» A general algorithm for data dependence analysis
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142
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ML
1998
ACM
139views Machine Learning» more  ML 1998»
15 years 3 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
135
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BMCBI
2006
99views more  BMCBI 2006»
15 years 3 months ago
Genetic algorithm learning as a robust approach to RNA editing site prediction
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
James Thompson, Shuba Gopal
GIS
2006
ACM
16 years 4 months ago
Optimal BSPs and rectilinear cartograms
A cartogram is a thematic map that visualizes statistical data about a set of regions like countries, states or provinces. The size of a region in a cartogram corresponds to a par...
Mark de Berg, Elena Mumford, Bettina Speckmann
208
Voted
VLDB
2005
ACM
125views Database» more  VLDB 2005»
16 years 3 months ago
Sync your data: update propagation for heterogeneous protein databases
The traditional model of bench (wet) chemistry in many life sciences domain is today actively complimented by computer-based discoveries utilizing the growing number of online data...
Kajal T. Claypool, Elke A. Rundensteiner
135
Voted
IPMI
2001
Springer
16 years 4 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...