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» Optimizing Complex Loss Functions in Structured Prediction
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CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
ICASSP
2011
IEEE
12 years 11 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
BMCBI
2005
75views more  BMCBI 2005»
13 years 7 months ago
Prediction of a common structural scaffold for proteasome lid, COP9-signalosome and eIF3 complexes
Background: The 'lid' subcomplex of the 26S proteasome and the COP9 signalosome (CSN complex) share a common architecture consisting of six subunits harbouring a so-call...
Hartmut Scheel, Kay Hofmann
BMCBI
2008
109views more  BMCBI 2008»
13 years 7 months ago
ConStruct: Improved construction of RNA consensus structures
Background: Aligning homologous non-coding RNAs (ncRNAs) correctly in terms of sequence and structure is an unresolved problem, due to both mathematical complexity and imperfect s...
Andreas Wilm, Kornelia Linnenbrink, Gerhard Steger
CVPR
2010
IEEE
13 years 7 months ago
Exploiting Monge structures in optimum subwindow search
Optimum subwindow search for object detection aims to find a subwindow so that the contained subimage is most similar to the query object. This problem can be formulated as a fou...
Senjian An, Patrick Peursum, Wanquan Liu, Svetha V...