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» Using Machine Learning to Guide Architecture Simulation
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ICML
2009
IEEE
14 years 8 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICML
2008
IEEE
14 years 8 months ago
Reinforcement learning in the presence of rare events
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Jordan Frank, Shie Mannor, Doina Precup
TAL
2004
Springer
14 years 1 months ago
Automatic Acquisition of Transfer Rules from Translation Examples
In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully auto...
Werner Winiwarter
ATAL
2010
Springer
13 years 9 months ago
Bushfire BLOCKS: a modular agent-based simulation
Bushfire BLOCKS is a modular, distributed, agent-based simulation for exploring and informing bushfire response strategies. Separate independent modules capture the fire spread, e...
David Scerri, Ferdinand Gouw, Sarah L. Hickmott, I...
ICALT
2006
IEEE
14 years 2 months ago
Drawing Things Together: Integrating Modalities and Co-ordinating Understanding
Graphical dialogue -the collaborative construction and modification of drawings- forms an integrated part of many human interactions e.g., the construction of sketch maps, archite...
Patrick G. T. Healey