'Local optima' diaporamas de présentation

2007 NIPS Tutorial on: Deep Belief Nets

2007 NIPS Tutorial on: Deep Belief Nets. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Some things you will learn in this tutorial.

1.62k views • 100 slides

Optimization methods

Optimization methods. Aleksey Minin Saint-Petersburg State University Student of ACOPhys master program (10 th semester). A pplied and CO mputational Phys ics. What is optimization?. Content:. Applications of optimization Global Optimization Local Optimization Discrete optimization

1.13k views • 57 slides

creativecommons/licenses/by-sa/2.0/

http://creativecommons.org/licenses/by-sa/2.0/. CIS786 Lecture 1. Usman Roshan. Complexity. NP: class of decision problems whose solution can be verified in polynomial time P: class of decision problems whose solution can be determined in polynomial time TSP (decision version)

596 views • 52 slides

Computational and mathematical challenges involved in very large-scale phylogenetics

Computational and mathematical challenges involved in very large-scale phylogenetics. Tandy Warnow The University of Texas at Austin. How did life evolve on earth?. An international effort to understand how life evolved on earth

572 views • 47 slides

Introduction to Optimization

Introduction to Optimization. Outline. Conventional design methodology What is optimization? Unconstrained minimization Constrained minimization Global-Local Approaches Multi-Objective Optimization Optimization software Structural optimization Surrogate optimization ( Metamodeling )

1.15k views • 43 slides

CSP: Examples

CSP: Examples. Industrial applications: scheduling, resource allocation, product configuration, etc. AI: Logic inference, temporal reasoning, NLP, etc. Puzzles: Sudoku & Minesweeper. 2,4,6,9. 3,5,7. <. <. <. <. <. 3,5,7. 5,6,7,8. 1,6,11. =. =. ?. <. <. 1,2,10. 8,9,11.

660 views • 34 slides

Optimization of Multibody Systems

514 views • 29 slides

Different Local Search Algorithms in STAGE for Solving Bin Packing Problem

Different Local Search Algorithms in STAGE for Solving Bin Packing Problem. Gholamreza Haffari Sharif University of Technology haffari@ce.sharif.edu. Overview. Combinatorial Optimization Problems and State Spaces STAGE Algorithm Local Search Algorithms Results Conclusion and Future works.

449 views • 29 slides

New Approaches for Feature Extraction in Hyperspectral Imagery

New Approaches for Feature Extraction in Hyperspectral Imagery. Stefan A. Robila Lukasz Maciak Department of Computer Science www.csam.montclair.edu/~robila. IEEE LISAT, 2006. Hyperspectral Images.

692 views • 28 slides

Automated Fugue Generation

Automated Fugue Generation. Yu Yue Yue Yang s upervised by Prof Andrew Horner. What is a Fugue ?. A fugue is a musical composition of multiple voices built on a subject (recurring theme) that imitates itself frequently throughout the piece.

551 views • 28 slides

Application of Nature Inspired Genetic Algorithms For Job Shop Scheduling

School of Computer Science University of Birmingham. Application of Nature Inspired Genetic Algorithms For Job Shop Scheduling. Bhuvan Sharma Research Associate Advanced Computation in Design and Decision Making Group University West of England, Bristol, UK bhuvan.sharma@uwe.ac.uk.

411 views • 27 slides

Heuristic Optimization Methods

436 views • 23 slides

Stochastic Optimization and Simulated Annealing

361 views • 20 slides

Automatic generation of optimized working time models in personnel planning

291 views • 19 slides

A complex systems methodology to transition management

A complex systems methodology to transition management. DIMETIC, Maastricht, 15-19 Oct 2007 Koen Frenken (k.frenken@geo.uu.nl). Structure of the talk. Some remarks on NK-models The power of decomposition and the example of the Wright Brothers inventing the airplane

309 views • 18 slides

Optimality Conditions for Unconstrained optimization

Optimality Conditions for Unconstrained optimization. One dimensional optimization Necessary and sufficient conditions Multidimensional optimization Classification of stationary points Necssary and sufficient conditions for local optima. Convexity and global optimality.

599 views • 16 slides

Global Optimization

Global Optimization. General issues in global optimization Classification of algorithms The DIRECT algorithm Relationship to EGO Lipschitzian optimization Exploration and Exploitation Application to High Speed Civil Transport. Global optimization issues. Optimization problem is NP-hard

479 views • 16 slides

Predicting consumer sentiments from online text

Predicting consumer sentiments from online text. Presenter: Jun-Yi Wu Authors: Xue Bai. ???????? National Yunlin University of Science and Technology. 2011 DSS. Outline. Motivation Objective Methodology Experiments Conclusion Comments. Motivation.

235 views • 13 slides

225 views • 13 slides

Graphical optimization

Graphical optimization. Some problems are cheap to simulate or test. Even if they are not, we may fit a surrogate that is cheap to evaluate. Relying on optimization software to find the optimum is foolhardy. It is better to thoroughly explore manually.

257 views • 10 slides