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87
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
14 years 11 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
ISCA
2008
IEEE
92views Hardware» more  ISCA 2008»
15 years 4 months ago
Counting Dependence Predictors
Modern processors rely on memory dependence prediction to execute load instructions as early as possible, speculating that they are not dependent on an earlier, unissued store. To...
Franziska Roesner, Doug Burger, Stephen W. Keckler
86
Voted
GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 1 months ago
Multi-objective optimisation of the protein-ligand docking problem in drug discovery
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy
WEA
2007
Springer
74views Algorithms» more  WEA 2007»
15 years 3 months ago
Landmark-Based Routing in Dynamic Graphs
Many speed-up techniques for route planning in static graphs exist, only few of them are proven to work in a dynamic scenario. Most of them use preprocessed information, which has ...
Daniel Delling, Dorothea Wagner
TPDS
1998
112views more  TPDS 1998»
14 years 9 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino