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VLDB
2010
ACM
144views Database» more  VLDB 2010»
13 years 5 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
APWEB
2010
Springer
13 years 10 months ago
Learning to Find Interesting Connections in Wikipedia
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
Marek Ciglan, Etienne Riviere, Kjetil Nørv&...
AGENTS
2001
Springer
13 years 12 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
ELECTRONICMARKETS
2007
69views more  ELECTRONICMARKETS 2007»
13 years 7 months ago
Mobile Service Bundles: The Example of Navigation Services
In this paper we explore which bundles of services are attractive to users. We look specifically in bundle composition with navigation services as core, and travel and entertainme...
Harry Bouwman, Timber Haaker, Henny de Vos
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
14 years 1 months ago
MRBUG: A Competitive Multi-Robot Path Finding Algorithm
— We explore an on-line problem where a group of robots has to reach a target whose position is known in an unknown planar environment whose geometry is acquired by the robots du...
Shahar Sarid, Amir Shapiro, Yoav Gabriely