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Pegasos

Known as: Pegasos II, PegasosPPC 
Pegasos is a MicroATX motherboard powered by a PowerPC 750CXe or PowerPC 7447 microprocessor, featuring three PCI slots, one AGP slot, two Ethernet… Expand
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"Classic" Mac OSAC'97Accelerated Graphics PortAmiga support and maintenance software
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years
The Model of Emissions of Gases and Aerosols from Nature (MEGANv2.1) together with the Modern-Era Retrospective Analysis for… Expand
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Highly Cited
2013
Highly Cited
2013
A spatial cross-correlation model of spectral accelerations at multiple periods
SUMMARY Many seismic loss problems (such as disruption of distributed infrastructure and losses to portfolios of structures… Expand
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Highly Cited
2013
Highly Cited
2013
Sub-3 nm particle size and composition dependent response of a nano-CPC battery
In this study we built a nano-CPC (condensation particle counter) battery, consisting of four ultrafine CPCs optimized for the… Expand
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Highly Cited
2013
Highly Cited
2013
Secondary aerosol formation from stress-induced biogenic emissions and possible climate feedbacks
Abstract. Atmospheric aerosols impact climate by scattering and absorbing solar radiation and by acting as ice and cloud… Expand
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Highly Cited
2012
Highly Cited
2012
Missing OH source in a suburban environment near Beijing: observed and modelled OH and HO2 concentrations in summer 2006
Measurements of ambient OH and HO 2 radicals were performed by laser induced fluorescence (LIF) during CAREBeijing2006 (Campaigns… Expand
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Highly Cited
2012
Highly Cited
2012
Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training
Online algorithms that process one example at a time are advantageous when dealing with very large data or with data streams… Expand
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Highly Cited
2011
Highly Cited
2011
Pegasos: primal estimated sub-gradient solver for SVM
We describe and analyze a simple and effective stochastic sub-gradient descent algorithm for solving the optimization problem… Expand
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Highly Cited
2011
Highly Cited
2011
Evaluation of the smoke-injection height from wild-land fires using remote-sensing data
Abstract. A new methodology for the estimation of smoke-injection height from wild-land fires is proposed and evaluated. It is… Expand
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Highly Cited
2008
Highly Cited
2008
Tighter Bounds for Structured Estimation
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient… Expand
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Highly Cited
2007
Highly Cited
2007
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector… Expand
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