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» Adversarial Sequence Prediction
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COLT
1999
Springer
15 years 10 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
BMCBI
2010
153views more  BMCBI 2010»
15 years 6 months ago
Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction
Background: Structural variations caused by a wide range of physico-chemical and biological sources directly influence the function of a protein. For enzymatic proteins, the struc...
Drew H. Bryant, Mark Moll, Brian Y. Chen, Viachesl...
BMCBI
2010
177views more  BMCBI 2010»
15 years 6 months ago
Modular composition predicts kinase/substrate interactions
Background: Phosphorylation events direct the flow of signals and metabolites along cellular protein networks. Current annotations of kinase-substrate binding events are far from ...
Yichuan Liu, Aydin Tozeren
BMCBI
2007
147views more  BMCBI 2007»
15 years 6 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
BMCBI
2006
133views more  BMCBI 2006»
15 years 6 months ago
An integrated approach to the prediction of domain-domain interactions
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen