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NIPS
2007
15 years 4 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
JMLR
2010
163views more  JMLR 2010»
14 years 9 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
108
Voted
PRL
2006
153views more  PRL 2006»
15 years 2 months ago
Efficient adaptive density estimation per image pixel for the task of background subtraction
We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture m...
Zoran Zivkovic, Ferdinand van der Heijden
WSTST
2005
Springer
15 years 8 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
EVOW
2008
Springer
15 years 4 months ago
Discovering Several Robot Behaviors through Speciation
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...