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IEEEPACT
2002
IEEE
14 years 3 months ago
Predicting Conditional Branches With Fusion-Based Hybrid Predictors
Researchers have studied hybrid branch predictors that leverage the strengths of multiple stand-alone predictors. The common theme among the proposed techniques is a selection mec...
Gabriel H. Loh, Dana S. Henry
EVOW
2007
Springer
14 years 2 months ago
Classification of Cell Fates with Support Vector Machine Learning
In human mesenchymal stem cells the envelope surrounding the nucleus, as visualized by the nuclear lamina, has a round and flat shape. The lamina structure is considerably deformed...
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas ...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 4 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso
BMCBI
2006
92views more  BMCBI 2006»
13 years 10 months ago
Demonstration of two novel methods for predicting functional siRNA efficiency
Background: siRNAs are small RNAs that serve as sequence determinants during the gene silencing process called RNA interference (RNAi). It is well know that siRNA efficiency is cr...
Peilin Jia, Tieliu Shi, Yu-Dong Cai, Yixue Li
AMS
2007
Springer
247views Robotics» more  AMS 2007»
14 years 4 months ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf