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ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
13 years 12 months ago
Survivability: Measuring and ensuring path diversity
— A novel criterion is introduced for assessing the diversity of a collection of paths or trajectories. The main idea is the notion of survivability, which measures the likelihoo...
Lawrence H. Erickson, Steven M. LaValle
ICML
2004
IEEE
14 years 6 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
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 5 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
13 years 11 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICML
2007
IEEE
14 years 6 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....