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» Time Series Prediction Based on Gene Expression Programming
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COLT
1999
Springer
15 years 1 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
80
Voted
BMCBI
2010
95views more  BMCBI 2010»
14 years 9 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
BMCBI
2011
14 years 4 months ago
Estimating developmental states of tumors and normal tissues using a linear time-ordered model
Background: Tumor cells are considered to have an aberrant cell state, and some evidence indicates different development states appearing in the tumorigenesis. Embryonic developme...
Bo Zhang, Beibei Chen, Tao Wu, Zhenyu Xuan, Xiaope...
CSB
2004
IEEE
103views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Identifying MicroRNAs in Plant Genomes
The ability to control gene expression during development in plants could be used for improving crop yields, resistance to disease, and environmental adaptability. It has been sug...
Christopher Maher, Marja Timmermans, Lincoln Stein...
RTSS
2007
IEEE
15 years 3 months ago
Adapting Futures: Scalability for Real-World Computing
Creating robust real-time embedded software is critical in combining the physical world with computing, such as in consumer electronics or robotics. One challenge is the complexit...
Johannes Helander, Risto Serg, Margus Veanes, Prit...