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AAAI
1998
13 years 11 months ago
"Squeaky Wheel" Optimization
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...
David Joslin, David P. Clements
ICPR
2008
IEEE
14 years 4 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
POPL
2010
ACM
14 years 7 months ago
Automatically Generating Instruction Selectors Using Declarative Machine Descriptions
Despite years of work on retargetable compilers, creating a good, reliable back end for an optimizing compiler still entails a lot of hard work. Moreover, a critical component of ...
João Dias, Norman Ramsey
ECRTS
1998
IEEE
14 years 2 months ago
Using exact feasibility tests for allocating real-time tasks in multiprocessor systems
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems which allow higher processor utilization and enhanced schedulability by using exact...
Sergio Saez, Joan Vila i Carbó, Alfons Cres...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
14 years 2 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono