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» An Algorithm to Solve a Linear Program
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SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
MFCS
2009
Springer
16 years 1 months ago
Branching Programs for Tree Evaluation
We introduce the tree evaluation problem, show that it is in LogDCFL (and hence in P), and study its branching program complexity in the hope of eventually proving a superlogarith...
Mark Braverman, Stephen A. Cook, Pierre McKenzie, ...
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 8 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 8 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
AIPS
2008
15 years 8 months ago
Linear Relaxation Techniques for Task Management in Uncertain Settings
In this paper, we consider the problem of assisting a busy user in managing her workload of pending tasks. We assume that our user is typically oversubscribed, and is invariably j...
Pradeep Varakantham, Stephen F. Smith