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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2011
13 years 1 months ago
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
Background: Although homology-based methods are among the most widely used methods for predicting the structure and function of proteins, the question as to whether interface sequ...
Li C. Xue, Drena Dobbs, Vasant Honavar
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 4 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
CEJCS
2011
78views more  CEJCS 2011»
12 years 10 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig
CEC
2008
IEEE
14 years 4 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
BMCBI
2010
190views more  BMCBI 2010»
13 years 10 months ago
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
Background: It is well known that most of the binding free energy of protein interaction is contributed by a few key hot spot residues. These residues are crucial for understandin...
Jun-Feng Xia, Xing-Ming Zhao, Jiangning Song, De-S...