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BMCBI
2010
179views more  BMCBI 2010»
13 years 8 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 2 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
RECOMB
2005
Springer
14 years 9 months ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz
TVCG
2008
149views more  TVCG 2008»
13 years 8 months ago
Antialiasing Procedural Shaders with Reduction Maps
Both texture maps and procedural shaders suffer from rendering artifacts during minification. Unlike texture maps, there exist no good automatic method to antialias procedural shad...
R. B. Van Horn III, Greg Turk