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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
AAAI
1998
13 years 9 months ago
An Architecture for Exploring Large Design Spaces
We describe an architecture for exploring very large design spaces, for example, spaces that arise when design candidates are generated by combining components systematically from...
John R. Josephson, B. Chandrasekaran, Mark Carroll...
ICML
2010
IEEE
13 years 8 months ago
On the Consistency of Ranking Algorithms
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
John Duchi, Lester W. Mackey, Michael I. Jordan
CGF
2010
119views more  CGF 2010»
13 years 7 months ago
Visual Analysis of Multi-Joint Kinematic Data
Kinematics is the analysis of motions without regarding forces or inertial effects, with the purpose of understanding joint behaviour. Kinematic data of linked joints, for example...
Peter R. Krekel, Edward R. Valstar, Jurriaan De Gr...
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...