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ICMLA
2009
13 years 6 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
FIW
1997
101views Communications» more  FIW 1997»
13 years 10 months ago
Evaluation of a State-Based Model of Feature Interactions
Abstract. At the second workshop on feature interactions, we proposed a statebased model for specifying features and proposed reachability-analysis algorithms for detecting various...
Pansy K. Au, Joanne M. Atlee
ICCV
2005
IEEE
14 years 11 months ago
Evaluation of Features Detectors and Descriptors Based on 3D Objects
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design...
Pierre Moreels, Pietro Perona
PRL
2006
117views more  PRL 2006»
13 years 9 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...
SPLC
2010
13 years 7 months ago
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...