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» Machine-Learning Applications of Algorithmic Randomness
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SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
14 years 11 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»
14 years 11 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
16 years 2 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...
SAC
2009
ACM
15 years 4 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
15 years 4 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