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NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
BMCBI
2008
135views more  BMCBI 2008»
15 years 6 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
BMCBI
2005
86views more  BMCBI 2005»
15 years 6 months ago
Confirmation of human protein interaction data by human expression data
Background: With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting pro...
Andreas Hahn, Jörg Rahnenführer, Priti T...
ISDA
2008
IEEE
16 years 27 days ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
ICFP
1999
ACM
15 years 10 months ago
Type Inference Builds a Short Cut to Deforestation
Deforestation optimises a functional program by transforming it into another one that does not create certain intermediate data structures. Short cut deforestation is a deforestat...
Olaf Chitil