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COLING
2008
13 years 9 months ago
Scaling up Analogical Learning
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
Philippe Langlais, François Yvon
AAAI
1996
13 years 8 months ago
Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
John O. Everett, Kenneth D. Forbus
ATAL
2008
Springer
13 years 9 months ago
Not all agents are equal: scaling up distributed POMDPs for agent networks
Many applications of networks of agents, including mobile sensor networks, unmanned air vehicles, autonomous underwater vehicles, involve 100s of agents acting collaboratively und...
Janusz Marecki, Tapana Gupta, Pradeep Varakantham,...
CIKM
2008
Springer
13 years 9 months ago
Scaling up duplicate detection in graph data
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
Melanie Herschel, Felix Naumann
ECCV
2008
Springer
14 years 9 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...