'Optimization formulation' diaporamas de présentation

Predictive Learning from Data

Predictive Learning from Data. LECTURE SET 9-1 Margin-Based Methods and Support Vector Machines. Electrical and Computer Engineering. OUTLINE. Motivation Margin-based loss SVM for classification SVM classification: examples Support Vector Regression SVM and regularization Summary

763 views • 76 slides

Predictive Learning from Data

Predictive Learning from Data. LECTURE SET 9-1 Margin-Based Methods and Support Vector Machines. Electrical and Computer Engineering. OUTLINE . Motivation and background Margin-based loss SVM for classification SVM examples Support Vector regression SVM and regularization Summary.

957 views • 74 slides

Part 2: Margin-Based Methods and Support Vector Machines

Part 2: Margin-Based Methods and Support Vector Machines. Vladimir Cherkassky University of Minnesota cherk001@umn.edu Presented at Chicago Chapter ASA, May 6, 2016. Electrical and Computer Engineering. 1. 1. SVM: Brief History. Margin (Vapnik & Lerner )

616 views • 61 slides

Part 2: Support Vector Machines

Part 2: Support Vector Machines. Vladimir Cherkassky University of Minnesota cherk001@umn.edu Presented at Tech Tune Ups, ECE Dept, June 1, 2011. Electrical and Computer Engineering. 1. 1. SVM: Brief History. Margin (Vapnik & Lerner ) Margin (Vapnik and Chervonenkis, 1964)

744 views • 46 slides

FlexiCheck: an Adaptive Checkpointing Architecture for Energy Harvesting Devices

FlexiCheck: an Adaptive Checkpointing Architecture for Energy Harvesting Devices. Priyanka Singla , Shubhankar S. Singh and Smruti R. Sarangi School of Information Technology Indian Institute of Technology Delhi, India.

525 views • 46 slides

Information Cascades

Information Cascades. Cascades. Information/behavior spreading through a network Useful for studying Actual viral contagion Technology diffusion, adoption of new products Cascading failures (e.g. power grids) Spread of information/rumor, viral marketing. How to model diffusion.

554 views • 36 slides

Core-Sets and Geometric Optimization problems.

Core-Sets and Geometric Optimization problems. Piyush Kumar Department of Computer Science Florida State University http://piyush.compgeom.com Email: piyush@acm.org. Joint work with. Alper Yildirim. Talk Outline. Introduction to Core-Sets for Geometric Optimization Problems.

496 views • 27 slides

Core-Sets and Geometric Optimization problems.

Core-Sets and Geometric Optimization problems. Piyush Kumar Department of Computer Science Florida State University http://piyush.compgeom.com Email: piyush@acm.org. Joint work with. Alper Yildirim. Talk Outline. Introduction to Core-Sets for Geometric Optimization Problems.

363 views • 27 slides

Decentralized and Dynamic Bandwidth Allocation in Networked Control Systems

Decentralized and Dynamic Bandwidth Allocation in Networked Control Systems. Ahmad T. Al-Hammouri, Michael S. Branicky, Vincenzo Liberatore Case Western Reserve University Stephen M. Phillips Arizona State University April 25, 2006

303 views • 15 slides

216 views • 12 slides

Optimization formulation

Optimization formulation. Optimization methods help us find solutions to problems where we seek to find the best of something. This lecture is about how we formulate the problem mathematically.

213 views • 10 slides

Research Activities Progress Report

Research Activities Progress Report. Russell Ford Ph.D. Candidate, Dept. Computer Science, NYU-Poly Advisor: Sundeep Rangan , Ph.D. Sept. 20, 2013. Overview. Conference papers Opportunistic Third-Party Backhaul for Cellular Wireless Networks (R. Ford, C. Kim, S. Rangan )

457 views • 10 slides

Optimization Based Design of Robust Synthetic

Optimization Based Design of Robust Synthetic. Switches in Biological Networks. Rajwant S. Bedi, Nael H. El-Farra. Department of Chemical Engineering & Materials Science. University of California, Davis, 95616.

140 views • 1 slides

Optimization Based Design of Robust Synthetic

Optimization Based Design of Robust Synthetic. Switches in Biological Networks. Rajwant S. Bedi, Nael H. El-Farra. Department of Chemical Engineering & Materials Science. University of California, Davis, 95616.

130 views • 1 slides