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» Evolutionary algorithms and dynamic programming
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PLDI
2003
ACM
15 years 9 months ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
15 years 10 months ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...
224
Voted
POPL
2003
ACM
16 years 4 months ago
A real-time garbage collector with low overhead and consistent utilization
Now that the use of garbage collection in languages like Java is becoming widely accepted due to the safety and software engineering benefits it provides, there is significant int...
David F. Bacon, Perry Cheng, V. T. Rajan
140
Voted
CSSE
2008
IEEE
15 years 11 months ago
Modeling and Implementation for Embedded DC Motor Ethernet Control System
—In this paper, a model of Embedded DC Motor Ethernet Control System is proposed with analysis on transmission time delay and data packet dropout. Based on this model, the ECS is...
Lingbo Zhu, Guanzhong Dai, Li Shin, Xuefang Lin-Sh...
IDA
2007
Springer
15 years 10 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini