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» On the monotonization of the training set
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Presentation
2175views
17 years 1 months ago
Robust Robotic Path Planning Using Level Sets
In robotic navigation, path planning is aimed at getting the optimum collision-free path between a starting and target locations. The optimality criterion depends on the surround...
M. Sabry Hassouna
97
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ICANN
2007
Springer
15 years 6 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...
TC
2008
15 years 13 days ago
Iterative Local Solutions for Connected Dominating Set in Ad Hoc Wireless Networks
We propose a general framework of the iterative local solution (ILS) for computing a connected dominating set (CDS) in ad hoc wireless networks, which include wireless sensor netwo...
Jie Wu, Fei Dai, Shuhui Yang
104
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GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
15 years 16 days ago
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
Abstract A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in r...
Yan Huang, Jian Pei, Hui Xiong
92
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JMLR
2002
87views more  JMLR 2002»
15 years 6 days ago
Shallow Parsing using Noisy and Non-Stationary Training Material
Shallow parsers are usually assumed to be trained on noise-free material, drawn from the same distribution as the testing material. However, when either the training set is noisy ...
Miles Osborne