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PAMI
2008
161views more  PAMI 2008»
13 years 7 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»
13 years 7 months ago
Motility, mixing, and multicellularity
Abstract. A fundamental issue in evolutionary biology is the transition from unicellular to multicellular organisms, and the cellular diļ¬€erentiation that accompanies the increase...
Cristian A. Solari, John O. Kessler, Raymond E. Go...
IDA
2007
Springer
13 years 7 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»
13 years 7 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...
BMCBI
2002
109views more  BMCBI 2002»
13 years 7 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