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» A Clustering Algorithm Based Absorbing Nearest Neighbors
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IBPRIA
2003
Springer
14 years 24 days ago
Comparison of Log-linear Models and Weighted Dissimilarity Measures
Abstract. We compare two successful discriminative classification algorithms on three databases from the UCI and STATLOG repositories. The two approaches are the log-linear model ...
Daniel Keysers, Roberto Paredes, Enrique Vidal, He...
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
13 years 11 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
TKDE
2008
123views more  TKDE 2008»
13 years 7 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
DAWAK
2009
Springer
14 years 2 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
PERVASIVE
2006
Springer
13 years 7 months ago
Collaborative Localization: Enhancing WiFi-Based Position Estimation with Neighborhood Links in Clusters
Abstract. Location-aware services can benefit from accurate and reliable indoor location tracking. The widespread adoption of 802.11x wireless LAN as the network infrastructure cre...
Li-Wei Chan, Ji-Rung Chiang, Yi-Chao Chen, Chia-na...