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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 9 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 4 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 4 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng
PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
15 years 10 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 7 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...