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» A Model Selection Approach for Local Learning
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ICML
2009
IEEE
14 years 8 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
ICPR
2004
IEEE
14 years 8 months ago
Robust Modelling of Local Image Structures and Its Application to Medical Imagery
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
Li Wang, Abhir Bhalerao, Roland Wilson
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
14 years 1 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
UAI
1996
13 years 8 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
14 years 2 months ago
Learning image alignment without local minima for face detection and tracking
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Minh Hoai Nguyen, Fernando De la Torre