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FLAIRS
2008
13 years 6 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
13 years 3 months ago
A simple learning strategy for high-speed quadrocopter multi-flips
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
Sergei Lupashin, Angela Schöllig, Michael She...
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 6 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
TITS
2008
133views more  TITS 2008»
13 years 4 months ago
Fuzzy Control Model Optimization for Behavior-Consistent Traffic Routing Under Information Provision
This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behaviorconsistent (BC) information-based control strategies to improve the...
Alexander Paz, Srinivas Peeta
ICDCS
2008
IEEE
13 years 11 months ago
PFC: Transparent Optimization of Existing Prefetching Strategies for Multi-Level Storage Systems
The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit the sequentia...
Zhe Zhang, Kyuhyung Lee, Xiaosong Ma, Yuanyuan Zho...