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NIPS
1993
15 years 7 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
ATAL
2010
Springer
15 years 7 months ago
ALIVE: an agent-based framework for dynamic and robust service-oriented applications
Service-oriented systems are becoming more and more nodes in a digital, dynamic ecosystem requiring the identification and establishment of flexible, spontaneous collaboration act...
Javier Vázquez-Salceda, Wamberto Weber Vasc...
CODES
2009
IEEE
15 years 7 months ago
Efficient dynamic voltage/frequency scaling through algorithmic loop transformation
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
WWW
2010
ACM
15 years 6 months ago
Using a model of social dynamics to predict popularity of news
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items ...
Kristina Lerman, Tad Hogg