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ICCBR
1997
Springer
15 years 4 months ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
SWAT
1994
Springer
80views Algorithms» more  SWAT 1994»
15 years 4 months ago
Selection in Monotone Matrices and Computing kth Nearest Neighbors
Pankaj K. Agarwal, Sandeep Sen
ALT
2007
Springer
15 years 3 months ago
Cluster Identification in Nearest-Neighbor Graphs
Abstract. Assume we are given a sample of points from some underlying distribution which contains several distinct clusters. Our goal is to construct a neighborhood graph on the sa...
Markus Maier, Matthias Hein, Ulrike von Luxburg
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
15 years 3 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...