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» On Approximation Algorithms for Hierarchical MAX-SAT
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2008
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15 years 1 months ago
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the h...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
NIPS
2008
15 years 3 months ago
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Multi-level hierarchical models provide an attractive framework for incorporating correlations induced in a response variable organized in a hierarchy. Model fitting is challengin...
Liang Zhang, Deepak Agarwal
123
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ESANN
2006
15 years 3 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
DAC
2006
ACM
16 years 2 months ago
Generation of yield-aware Pareto surfaces for hierarchical circuit design space exploration
Pareto surfaces in the performance space determine the range of feasible performance values for a circuit topology in a given technology. We present a non-dominated sorting based ...
Saurabh K. Tiwary, Pragati K. Tiwary, Rob A. Ruten...
AIPS
2007
15 years 4 months ago
Angelic Semantics for High-Level Actions
High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the ef...
Bhaskara Marthi, Stuart J. Russell, Jason Wolfe