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» Machine-Learning Applications of Algorithmic Randomness
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SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
13 years 9 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
IOPADS
1997
152views more  IOPADS 1997»
13 years 9 months ago
Competitive Parallel Disk Prefetching and Buffer Management
We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel I/O systems, using a read-once model of block references. This has ...
Rakesh D. Barve, Mahesh Kallahalla, Peter J. Varma...
ICCV
2009
IEEE
15 years 1 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
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SAC
2009
ACM
14 years 2 months ago
Modular implementation of adaptive decisions in stochastic simulations
We present a modular approach to implement adaptive decisions with existing scientific codes. Using a sophisticated system software tool based on the function call interception t...
Pilsung Kang 0002, Yang Cao, Naren Ramakrishnan, C...
ICDCS
2007
IEEE
14 years 2 months ago
AVMON: Optimal and Scalable Discovery of Consistent Availability Monitoring Overlays for Distributed Systems
This paper addresses the problem of selection and discovery of a consistent availability monitoring overlay for computer hosts in a large-scale distributed application, where host...
Ramsés Morales, Indranil Gupta