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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Tutorial on Submodularity in Machine Learning - New Directions. At ICML 2013 by Stefanie Jegelka and Andreas Krause [ pdf part 1. Tutorials on Submodularity in Machine Learning and Computer Vision. Invited tutorial Intellgent Optimization with Submodular Functions.

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization | submodularity.org Reviews
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Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Tutorial on Submodularity in Machine Learning - New Directions. At ICML 2013 by Stefanie Jegelka and Andreas Krause [ pdf part 1. Tutorials on Submodularity in Machine Learning and Computer Vision. Invited tutorial Intellgent Optimization with Submodular Functions.
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1 overview
2 meetings
3 tutorials
4 materials
5 references
6 pdf part 2
7 by jeff bilmes
8 annotated bibliography
9 and carlos guestrin
10 ethz dot
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overview,meetings,tutorials,materials,references,pdf part 2,by jeff bilmes,annotated bibliography,and carlos guestrin,ethz dot
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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization | submodularity.org Reviews

https://submodularity.org

Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Tutorial on Submodularity in Machine Learning - New Directions. At ICML 2013 by Stefanie Jegelka and Andreas Krause [ pdf part 1. Tutorials on Submodularity in Machine Learning and Computer Vision. Invited tutorial Intellgent Optimization with Submodular Functions.

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

http://www.submodularity.org/icml08/index.html

Beyond Convexity: Submodularity in Machine Learning. Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Recorded Oct 17 2008 at Carnegie Mellon University). Part I: Minimizing submodular functions. Part II: Maximizing submodular functions. Extended tutorial slides, updated July 6 2008 [ pdf. Robust maximization of sub...

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

http://www.submodularity.org/ijcai09/index.html

Intelligent Information Gathering and Submodular Function Optimization. Tutorial slides [ ppt. MATLAB Toolbox for submodular function optimization [ link. Given at ICML 2008. Why should the AI community care about submodularity? Intuition: Why are submodular functions useful. Examples of submodular functions (entropy [8] and mutual information [10, 14], influence in graphs [9], etc.) and examples of functions which are not submodular. Overview about known results for minimization [22, 7]. The main object...

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

http://www.submodularity.org/references.html

This list contains references used in the tutorial, and pointers beyond. This list is bar far not complete, it provides a sketch of developments. If you feel like an important reference is missing, please let us know. Surveys on submodular functions and optimization, and foundational work. S Fujishige. Submodular functions and optimization. Annals of Discrete Mathematics, Elsevier 2nd Edition 2005, 1st Edition 1991. Monograph on submodular functions. Programming Society Newsletter, (64):1–11, 2000. J Edm...

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

http://www.submodularity.org/dagm12/index.html

Submodularity in Machine Learning and Computer Vision. This tutorial introduces researchers to the concept of submodular functions, their optimization, applications and relevant results in recent research directions. Illustrative examples and animations will help develop an intuition for the concept and algorithms. The tutorial aims at providing an overview of existing results that are important to machine learners, and will provide pointers to further, detailed resources. Tutorial slides [ pdf.

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Research on Search: August 2011

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My study of machine learning, data mining, computational linguistics and information retrieval, towards the grand goal of developing the "perfect search engine" that "understands exactly what you mean and gives you back exactly what you want" (Larry Page). Sunday, August 28, 2011. Fastest membership test in Python. What is the most efficient method to check whether an item is in a given group or not? Posted by Dell Zhang. Friday, August 26, 2011. Intuitively, a submodular function. Posted by Dell Zhang.

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

http://select.cs.cmu.edu//tutorials/icml08submodularity.html

Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Tutorial on Submodularity in Machine Learning - New Directions. At ICML 2013 by Stefanie Jegelka and Andreas Krause [ pdf part 1. Tutorials on Submodularity in Machine Learning and Computer Vision. Invited tutorial Intellgent Optimization with Submodular Functions.

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submodularity.org: Tutorials, References, Activities and Tools for Submodular Optimization

Is an intuitive diminishing returns property, stating that adding an element to a smaller set helps more than adding it to a larger set. Similarly to convexity, submodularity allows one to efficiently find provably (near-)optimal solutions. Tutorial on Submodularity in Machine Learning - New Directions. At ICML 2013 by Stefanie Jegelka and Andreas Krause [ pdf part 1. Tutorials on Submodularity in Machine Learning and Computer Vision. Invited tutorial Intellgent Optimization with Submodular Functions.

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