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» Algorithmic Randomness of Closed Sets
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FOCS
1999
IEEE
15 years 6 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
IPPS
1998
IEEE
15 years 6 months ago
On Randomized and Deterministic Schemes for Routing and Sorting on Fixed-Connection Networks
Abstract. We give a high-level description of some fundamental randomized and deterministic techniques for routing and sorting on xedconnection networks such as meshes, hypercubes ...
Torsten Suel
ACST
2006
15 years 3 months ago
An efficient search algorithm for partially ordered sets
Consider the problem of membership query for a given partially ordered set. We devise a greedy algorithm which can produce near-optimal search strategies. Rigorous analysis has be...
Yan Chen
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
BMCBI
2010
190views more  BMCBI 2010»
15 years 2 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...