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» Adaptive MCMC with Bayesian Optimization
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IPMI
2003
Springer
14 years 27 days ago
Ideal-Observer Performance under Signal and Background Uncertainty
We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due t...
Subok Park, Matthew A. Kupinski, Eric Clarkson, Ha...
ICML
2007
IEEE
14 years 8 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
PAMI
2007
113views more  PAMI 2007»
13 years 7 months ago
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
—We formalize the notion of style context, which accounts for the increased accuracy of the field classifiers reported in this journal recently. We argue that style context forms...
Sriharsha Veeramachaneni, George Nagy
ICAPR
2005
Springer
14 years 1 months ago
3D Model Retrieval Based on Adaptive Views Clustering
In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D ...
Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe...
ICPR
2006
IEEE
14 years 8 months ago
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
Cédric Archambeau, Michel Verleysen, Nicola...