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» Minimization of an M-convex Function
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NIPS
2008
15 years 7 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
VMV
2008
129views Visualization» more  VMV 2008»
15 years 7 months ago
Shape Median Based on Symmetric Area Differences
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Benjamin Berkels, Gina Linkmann, Martin Rumpf
ECCV
2010
Springer
15 years 7 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ICANN
2010
Springer
15 years 6 months ago
Deep Bottleneck Classifiers in Supervised Dimension Reduction
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
Elina Parviainen
IOR
2008
82views more  IOR 2008»
15 years 5 months ago
Heavy-Traffic Optimality of a Stochastic Network Under Utility-Maximizing Resource Allocation
We study a stochastic network that consists of a set of servers processing multiple classes of jobs. Each class of jobs requires a concurrent occupancy of several servers while be...
Heng-Qing Ye, David D. Yao