'Variational' web sites
Home. the oxford computational linguistics group
www.clg.ox.ac.uk 2015-05-17 ⚑r&d
variational Bayesian inference nonparametric Bayesian modelling statistical machine translation and language modelling Recent News June 27th, 2014 Best Application Paper Award at ICML2014 March 6th, 2014 Computational Linguistics Group Success at ACL October 17th, 2013 Phil Blunsom awarded EPSRC Early Career Fellowship September 18th, 2013 Three papers accepted to EMNLP June 20th, 2013 Best Paper Award at SEM2013 Older News May
www.clg.ox.ac.uk 2015-05-17 ⚑r&d
variational Bayesian inference nonparametric Bayesian modelling statistical machine translation and language modelling Recent News June 27th, 2014 Best Application Paper Award at ICML2014 March 6th, 2014 Computational Linguistics Group Success at ACL October 17th, 2013 Phil Blunsom awarded EPSRC Early Career Fellowship September 18th, 2013 Three papers accepted to EMNLP June 20th, 2013 Best Paper Award at SEM2013 Older News May
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Corpus christi college oxford. fellows
variational principles to study their large.scale behaviour. Along with Corpus DPhil student Andrew Stewart, Dr Dellar has derived shallow water equations with a better approximation to the Coriolis force experienced by a fluid moving on a rotating planet. They are using these equations to model the flow of deep ocean currents across the equator, such as how cold, deep water from Antarctica crosses the equator to reach the
Kdd cup 2007
www.cs.uic.edu 2013-02-12
variational Bayesian Approach to Movie Rating Prediction Yew Jin Lim and Yee Whye Teh On the Gravity Recommendation System Gabor Takacs, Istvan Pilaszy, Bottyan Nemeth, and Domonkos Tikk Short Papers Methods for Large Scale SVD with Missing Values Miklos Kurucz, Andras A. Benczur, and Karoly Csalogany Improving Regularized Singular Value Decomposition for Collaborative Filtering Arkadiusz Paterek Collaborative Filtering via
www.cs.uic.edu 2013-02-12
variational Bayesian Approach to Movie Rating Prediction Yew Jin Lim and Yee Whye Teh On the Gravity Recommendation System Gabor Takacs, Istvan Pilaszy, Bottyan Nemeth, and Domonkos Tikk Short Papers Methods for Large Scale SVD with Missing Values Miklos Kurucz, Andras A. Benczur, and Karoly Csalogany Improving Regularized Singular Value Decomposition for Collaborative Filtering Arkadiusz Paterek Collaborative Filtering via
Todd s. munson
www-unix.mcs.anl.gov 2013-03-06
variational inequality structure; nonmontone search criteria; and crashing methods to identify good active sets. Parallel versions of the semismooth methods that I wrote are available in TAO, the Toolkit for Advanced Optimization. Finally, I have worked on special.purpose algorithms for solving support vector machine and mesh shape.quality optimization problems. The structure of the linear support vector machine problem enabled us
www-unix.mcs.anl.gov 2013-03-06
variational inequality structure; nonmontone search criteria; and crashing methods to identify good active sets. Parallel versions of the semismooth methods that I wrote are available in TAO, the Toolkit for Advanced Optimization. Finally, I have worked on special.purpose algorithms for solving support vector machine and mesh shape.quality optimization problems. The structure of the linear support vector machine problem enabled us
Isicad cad plm articles direct modeling. who and why needs it. a review of [..]
isicad.net 2012-04-07 ⚑tech ⚑finance ⚑news
variational direct modeling, which I outlined for the first time in 2007 in my paper Using LEDAS Computational Software Toolkits to Shorten Development Cycle of variational CAD Systems and in 2008 described it in more detail in the paper variational Direct Modeling How to Keep Design Intent in History.Free CAD. I d like to remind about that because both approaches later proposed by Autodesk and Siemens conceptually have much in
isicad.net 2012-04-07 ⚑tech ⚑finance ⚑news
variational direct modeling, which I outlined for the first time in 2007 in my paper Using LEDAS Computational Software Toolkits to Shorten Development Cycle of variational CAD Systems and in 2008 described it in more detail in the paper variational Direct Modeling How to Keep Design Intent in History.Free CAD. I d like to remind about that because both approaches later proposed by Autodesk and Siemens conceptually have much in
The weather research forecasting model website
wrf-model.org 2006-11-19 ⚑r&d
variational 3DVAR data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometers. The effort to develop WRF has been a collaborative partnership, principally among the National Center for Atmospheric Research NCAR , the National Oceanic and Atmospheric
wrf-model.org 2006-11-19 ⚑r&d
variational 3DVAR data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometers. The effort to develop WRF has been a collaborative partnership, principally among the National Center for Atmospheric Research NCAR , the National Oceanic and Atmospheric
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Http://wrf-model.org/presentations/ugc_2002/john_michalakes.htm
variational Analysis System Implemented for Massively Parallel Computers SOFTWARE INFRASTRUCTURE FOR THE WEATHER RESEARCH AND FORECAST MODEL John G. Michalakes1, Michael McAtee2, Jerry Wegiel3 1National Center for Atmospheric Research, NCAR MMM Boulder, CO 80301 2 Aerospace Corporation, Los Angeles, California 3 Air Force Weather Agency, Offutt AFB, Nebraska ABSTRACT The Weather Research and Forecast WRF project is a
Ledas ltd group press releases
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
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Ledas ltd group management
variational direct modeling technology for the next generation of CAD, implemented in the series of Driving Dimensions plug.ins for 3D modeling software. In February 2011, he was appointed Chief Executive Officer of LEDAS. In October 2011 Dmitry Ushakov was assigned as CEO of newly established Bricsys Technologies Russia. He remains a member of LEDAS Board. Dr Ushakov is a member of the board of the isicad.ru and isicad.net web
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Ledas ltd intelligent solutions provider
variational Direct Modeling technology integrated into several customer product environments , and end.user products of the LEDAS Driving Dimensions series for Rhino and SketchUp. These components have been licensed to dozens customers all over the world. In October 2011, the IP for this part of the LEDAS business was acquired by Bricsys, the Belgian company which previously had been a long.term LEDAS customer. Company Founded in
Geos.5 earth system modeling and data assimilation. geos.5
geos5.org 2016-01-08 ⚑news ⚑r&d
variational Data Assimilation System 3 Documentation for Users and Developers 4 System Validation and Evaluation 5 Glossary The Goddard Earth Observing System Model, Version 5 GEOS.5 is a system of models integrated using the Earth System Modeling Framework ESMF. The GEOS.5 Data Assimilation System GEOS.5 DAS integrates the GEOS.5 Atmospheric Global Climate Model GEOS.5 AGCM with the Gridpoint Statistical Interpolation GSI
geos5.org 2016-01-08 ⚑news ⚑r&d
variational Data Assimilation System 3 Documentation for Users and Developers 4 System Validation and Evaluation 5 Glossary The Goddard Earth Observing System Model, Version 5 GEOS.5 is a system of models integrated using the Earth System Modeling Framework ESMF. The GEOS.5 Data Assimilation System GEOS.5 DAS integrates the GEOS.5 Atmospheric Global Climate Model GEOS.5 AGCM with the Gridpoint Statistical Interpolation GSI
Stacey levine
www.mathcs.duq.edu 2015-05-17 ⚑r&d ⚑tech
variational Model for Image Decomposition, Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer Verlag LCNS No. 3757, 382.397, 2005. Levine, S., Chen, Y. and Stanich, J., Image Restoration via Nonstandard Diffusion, Technical Report 04.01, Dept of Mathematics and Computer Science, Duquesne University, 2004. Chen, Y. and Levine, S., Image Recovery via Diffusion Tensor and Time Delay Regularization ,
www.mathcs.duq.edu 2015-05-17 ⚑r&d ⚑tech
variational Model for Image Decomposition, Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer Verlag LCNS No. 3757, 382.397, 2005. Levine, S., Chen, Y. and Stanich, J., Image Restoration via Nonstandard Diffusion, Technical Report 04.01, Dept of Mathematics and Computer Science, Duquesne University, 2004. Chen, Y. and Levine, S., Image Recovery via Diffusion Tensor and Time Delay Regularization ,
Scikit.learn machine learning in python mdash; scikit.learn 0.13.1 documentation [..]
scikit-learn.org 2013-03-21
variational Gaussian mixtures 4.1.2.1. Pros and cons of class VBGMM variational inference 4.1.2.1.1. Pros 4.1.2.1.2. Cons 4.1.2.2. Estimation algorithm variational inference 4.1.3. DPGMM classifier Infinite Gaussian mixtures 4.1.3.1. Pros and cons of class DPGMM Diriclet process mixture model 4.1.3.1.1. Pros 4.1.3.1.2. Cons 4.1.3.2. The Dirichlet Process 4.2. Manifold learning 4.2.1. Introduction 4.2.2. Isomap 4.2.2.1. Complexity
scikit-learn.org 2013-03-21
variational Gaussian mixtures 4.1.2.1. Pros and cons of class VBGMM variational inference 4.1.2.1.1. Pros 4.1.2.1.2. Cons 4.1.2.2. Estimation algorithm variational inference 4.1.3. DPGMM classifier Infinite Gaussian mixtures 4.1.3.1. Pros and cons of class DPGMM Diriclet process mixture model 4.1.3.1.1. Pros 4.1.3.1.2. Cons 4.1.3.2. The Dirichlet Process 4.2. Manifold learning 4.2.1. Introduction 4.2.2. Isomap 4.2.2.1. Complexity
Ismp2012. general information
ismp2012.mathopt.org 2012-03-13 ⚑tech
variational analysis, complementarity and variational inequalities, sparse, derivative.free and simulation.based optimization, implementations and software, operations research, and logistics, traffic and transportation, telecommunications, energy systems, finance and economics. Deadlines March 31, 2012 Deadline for organizing invited sessions please contact one of the cluster chairs April 15, 2012 Abstract submission deadlineJune
ismp2012.mathopt.org 2012-03-13 ⚑tech
variational analysis, complementarity and variational inequalities, sparse, derivative.free and simulation.based optimization, implementations and software, operations research, and logistics, traffic and transportation, telecommunications, energy systems, finance and economics. Deadlines March 31, 2012 Deadline for organizing invited sessions please contact one of the cluster chairs April 15, 2012 Abstract submission deadlineJune
Ledas ltd group press releases
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
MORE
ⓘ
Ledas ltd intelligent solutions provider
variational Direct Modeling technology integrated into several customer product environments , and end.user products of the LEDAS Driving Dimensions series for Rhino and SketchUp. These components have been licensed to dozens customers all over the world. In October 2011, the IP for this part of the LEDAS business was acquired by Bricsys, the Belgian company which previously had been a long.term LEDAS customer. Company Founded in
Isicad cad plm articles direct modeling. who and why needs it. a review of [..]
isicad.net 2012-04-07 ⚑tech ⚑finance ⚑news
variational direct modeling, which I outlined for the first time in 2007 in my paper Using LEDAS Computational Software Toolkits to Shorten Development Cycle of variational CAD Systems and in 2008 described it in more detail in the paper variational Direct Modeling How to Keep Design Intent in History.Free CAD. I d like to remind about that because both approaches later proposed by Autodesk and Siemens conceptually have much in
isicad.net 2012-04-07 ⚑tech ⚑finance ⚑news
variational direct modeling, which I outlined for the first time in 2007 in my paper Using LEDAS Computational Software Toolkits to Shorten Development Cycle of variational CAD Systems and in 2008 described it in more detail in the paper variational Direct Modeling How to Keep Design Intent in History.Free CAD. I d like to remind about that because both approaches later proposed by Autodesk and Siemens conceptually have much in
Ledas ltd group press releases
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
ledas.com 2012-04-10 ⚑finance ⚑news
variational direct modeling technology for the next generation of CAD, implemented as a series of Driving Dimensions plug.ins for Google SketchUp and McNeel Rhinoceros 3D modeling software. Alexey Ershov, 32, also joined LEDAS in 1999 and then quickly progressed through the positions of software developer, manager, and finally director of research and development. He participated in many mathematical software projects, such as
Geos.5 earth system modeling and data assimilation. geos.5
geos5.org 2016-01-08 ⚑news ⚑r&d
variational Data Assimilation System 3 Documentation for Users and Developers 4 System Validation and Evaluation 5 Glossary The Goddard Earth Observing System Model, Version 5 GEOS.5 is a system of models integrated using the Earth System Modeling Framework ESMF. The GEOS.5 Data Assimilation System GEOS.5 DAS integrates the GEOS.5 Atmospheric Global Climate Model GEOS.5 AGCM with the Gridpoint Statistical Interpolation GSI
geos5.org 2016-01-08 ⚑news ⚑r&d
variational Data Assimilation System 3 Documentation for Users and Developers 4 System Validation and Evaluation 5 Glossary The Goddard Earth Observing System Model, Version 5 GEOS.5 is a system of models integrated using the Earth System Modeling Framework ESMF. The GEOS.5 Data Assimilation System GEOS.5 DAS integrates the GEOS.5 Atmospheric Global Climate Model GEOS.5 AGCM with the Gridpoint Statistical Interpolation GSI
'Variational' white pages
- dellar
maths.ox - tmunsonmcs.anl
- kconraducar.edu
- infoledas.com
- selmathcs.duq
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