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BIB
2010
103views more  BIB 2010»
13 years 7 months ago
Challenges of sequencing human genomes
Massively parallel sequencing technologies continue to alter the study of human genetics. As the cost of sequencing declines, next-generation sequencing (NGS) instruments and data...
Daniel C. Koboldt, Li Ding, Elaine R. Mardis, Rich...
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 10 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
AAAI
2006
13 years 11 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
EOR
2007
96views more  EOR 2007»
13 years 10 months ago
A fast method for discovering critical edge sequences in e-commerce catalogs
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...
TIP
2002
123views more  TIP 2002»
13 years 9 months ago
A doubly adaptive approach to dynamic MRI sequence estimation
Dynamic magnetic resonance imaging (MRI) refers to the acquisition of a sequence of MRI images to monitor temporal changes in tissue structure. In this paper we present a method fo...
William Scott Hoge, Eric L. Miller, Hanoch Lev-Ari...