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EMO
2005
Springer
108views Optimization» more  EMO 2005»
14 years 2 months ago
Multi-objective Model Optimization for Inferring Gene Regulatory Networks
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
Christian Spieth, Felix Streichert, Nora Speer, An...
JMLR
2008
209views more  JMLR 2008»
13 years 8 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICDCS
2009
IEEE
14 years 3 months ago
On Optimal Concurrency Control for Optimistic Replication
Concurrency control is a core component in optimistic replication systems. To detect concurrent updates, the system associates each replicated object with metadata, such as, versi...
Weihan Wang, Cristiana Amza
LFP
1992
140views more  LFP 1992»
13 years 9 months ago
Global Tagging Optimization by Type Inference
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...
Fritz Henglein
UAI
2003
13 years 9 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen