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ICML
2009
IEEE
16 years 1 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
115
Voted
RECOMB
2009
Springer
15 years 7 months ago
Yeast Ancestral Genome Reconstructions: The Possibilities of Computational Methods
In 2006, a debate has risen on the question of the efficiency of bioinformatics methods to reconstruct mammalian ancestral genomes. Three years later, Gordon et al. (PLoS Genetics,...
Eric Tannier
119
Voted
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 6 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
PPSN
2004
Springer
15 years 6 months ago
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
Daniel Roggen, Diego Federici
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 6 months ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai