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» Managing Complexity in Large Learning Robotic Systems
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ICRA
2008
IEEE
107views Robotics» more  ICRA 2008»
14 years 2 months ago
Storing and recalling information for vision localization
— In implementing a vision localization system, a crucial issue to consider is how to efficiently store and recall the necessary information so that the robot is not only able t...
Christian Siagian, Laurent Itti
JCDL
2006
ACM
161views Education» more  JCDL 2006»
14 years 1 months ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
AIR
2006
107views more  AIR 2006»
13 years 8 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
USENIX
1990
13 years 9 months ago
Efficient User-Level File Cache Management on the Sun Vnode Interface
In developing a distributed file system, there are several good reasons for implementing the client file cache manager as a user-level process. These include ease of implementatio...
David C. Steere, James J. Kistler, Mahadev Satyana...