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PAMI
2008
161views more  PAMI 2008»
15 years 2 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
GPEM
2007
87views more  GPEM 2007»
15 years 2 months ago
Motility, mixing, and multicellularity
Abstract. A fundamental issue in evolutionary biology is the transition from unicellular to multicellular organisms, and the cellular differentiation that accompanies the increase...
Cristian A. Solari, John O. Kessler, Raymond E. Go...
IDA
2007
Springer
15 years 2 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
BMCBI
2005
117views more  BMCBI 2005»
15 years 2 months ago
HmtDB, a Human Mitochondrial Genomic Resource Based on Variability Studies Supporting Population Genetics and Biomedical Researc
Background: Population genetics studies based on the analysis of mtDNA and mitochondrial disease studies have produced a huge quantity of sequence data and related information. Th...
Marcella Attimonelli, Matteo Accetturo, Monica San...
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BMCBI
2002
109views more  BMCBI 2002»
15 years 2 months ago
Kangaroo - A pattern-matching program for biological sequences
Background: Biologists are often interested in performing a simple database search to identify proteins or genes that contain a well-defined sequence pattern. Many databases do no...
Doron Betel, Christopher W. V. Hogue