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ICML
2007
IEEE
14 years 10 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
NIPS
1998
13 years 11 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini
CSDA
2007
99views more  CSDA 2007»
13 years 9 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
GIS
2008
ACM
13 years 11 months ago
Similarity-based prediction of travel times for vehicles traveling on known routes
The use of centralized, real-time position tracking is proliferating in the areas of logistics and public transportation. Real-time positions can be used to provide up-to-date inf...
Dalia Tiesyte, Christian S. Jensen
PERVASIVE
2008
Springer
13 years 9 months ago
A fair and energy-efficient topology control protocol for wireless sensor networks
In energy constrained wireless sensor networks, energy conservation techniques are to be applied in order to maximize the system lifetime. We tackle the problem of increasing netw...
Rami Mochaourab, Waltenegus Dargie