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DAWAK
2010
Springer
15 years 6 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
MSWIM
2009
ACM
16 years 1 months ago
Socially conscious channel selection in 802.11 WLANs for coexistence in a non-cooperative environment
The increasing number of independent IEEE 802.11 WLANs owned and managed by autonomous users has led to increased interference, resulting in performance degradation and unfairness...
Joo Ghee Lim, Chun Tung Chou, Sanjay Jha
ECML
2007
Springer
16 years 13 days ago
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
Dimitrios Mavroeidis, Michalis Vazirgiannis
3DOR
2010
15 years 1 months ago
Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Hamid Laga
ICML
2004
IEEE
16 years 7 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby