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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2008
140views more  BMCBI 2008»
13 years 9 months ago
Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework
Background: Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations ...
Kazutaka Katoh, Hiroyuki Toh
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 10 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
DCC
2006
IEEE
14 years 8 months ago
Non-Asymptotic Design of Finite State Universal Predictors for Individual Sequences
In this work we consider the problem of universal prediction of individual sequences where the universal predictor is a deterministic finite state machine, with a fixed, relativel...
Amir Ingber, Meir Feder
NAR
2006
120views more  NAR 2006»
13 years 9 months ago
TreeDomViewer: a tool for the visualization of phylogeny and protein domain structure
Phylogenetic analysis and examination of protein domains allow accurate genome annotation and are invaluable to study proteins and protein complex evolution. However, two sequence...
Blaise T. F. Alako, Daphne Rainey, Harm Nijveen, J...
BMCBI
2008
160views more  BMCBI 2008»
13 years 9 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva