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ICMLA
2010
13 years 5 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICTAI
1997
IEEE
13 years 12 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
ICMCS
2007
IEEE
102views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Joint Network and Rate Allocation for Simultaneous Wireless Applications
We address the problem of rate allocation and network/path selection for multiple users, running simultaneous applications over multiple parallel access networks. Our joint optimi...
Dan Jurca, Wolfgang Kellerer, Eckehard G. Steinbac...
ICML
2007
IEEE
14 years 8 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
ACCV
2009
Springer
13 years 5 months ago
Rotation Averaging with Application to Camera-Rig Calibration
We present a method for calibrating the rotation between two cameras in a camera rig in the case of non-overlapping fields of view and in a globally consistent manner. First, rotat...
Yuchao Dai, Jochen Trumpf, Hongdong Li, Nick Barne...