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» Continuous Optimization of Hyper-Parameters
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ICML
2004
IEEE
16 years 4 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
123
Voted
VLSID
2006
IEEE
148views VLSI» more  VLSID 2006»
16 years 4 months ago
Efficient Design and Analysis of Robust Power Distribution Meshes
With increasing design complexity, as well as continued scaling of supplies, the design and analysis of power/ground distribution networks poses a difficult problem in modern IC d...
Puneet Gupta, Andrew B. Kahng
236
Voted
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 3 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
119
Voted
CCGRID
2009
IEEE
15 years 10 months ago
Multicast Trees for Collaborative Applications
—Current implementations of real-time collaborative applications rely on a dedicated infrastructure to carry out all synchronizing and communication functions, and require all en...
Krzysztof Rzadca, Jackson Tan Teck Yong, Anwitaman...
127
Voted
CCGRID
2009
IEEE
15 years 10 months ago
Performance under Failures of DAG-based Parallel Computing
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, B...