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» Using Learning in a Control Agent
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142
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GIS
1992
ACM
15 years 6 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
140
Voted
NIPS
2004
15 years 3 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
119
Voted
JFR
2006
88views more  JFR 2006»
15 years 2 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
145
Voted
SECON
2010
IEEE
15 years 2 days ago
Deconstructing Interference Relations in WiFi Networks
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
Anand Kashyap, Utpal Paul, Samir R. Das
96
Voted
SAINT
2007
IEEE
15 years 8 months ago
A Component Framework for Document-Centric Network Processing
A component framework for defining content-based network processing is presented. It is unique among other existing approaches because it enables contents to naturally define th...
Ichiro Satoh