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» Structured Prediction Models via the Matrix-Tree Theorem
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CVPR
2012
IEEE
11 years 8 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
BMCBI
2010
133views more  BMCBI 2010»
13 years 5 months ago
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical
Background: Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent s...
Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paud...
BIBM
2010
IEEE
158views Bioinformatics» more  BIBM 2010»
13 years 3 months ago
Protein-protein interaction prediction via Collective Matrix Factorization
Abstract--Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of ...
Qian Xu, Evan Wei Xiang, Qiang Yang
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
13 years 4 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
13 years 12 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi