'Online algorithm' presentation slideshows

Online Algorithms Lecture notes for lectures given by Dr. Ely Porat, Bar-Ilan University

Online Algorithms Lecture notes for lectures given by Dr. Ely Porat, Bar-Ilan University. Notes taken by: Navot Akiva Yair Kaufman Raz Lin Ohad Lipsky. July 2001. Examples. The Investor Problem:

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Online Algorithms

Online Algorithms. Introduction. An offline algorithm has a full information in advance so it can compute the optimal strategy to maximize its profit (minimize its costs).

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Online Learning Algorithms

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Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation. James Foulds 1 , Levi Boyles 1 , Christopher DuBois 2 Padhraic Smyth 1 , Max Welling 3 1 University of California Irvine, Computer Science 2 University of California Irvine, Statistics

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A General Approach to Online Network Optimization Problems

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RADIO INTERFEROMETRIC GEOLOCATION

RADIO INTERFEROMETRIC GEOLOCATION. Will Hedgecock EECE 354. 11/08/2010.

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SOFSEM 2007 Weighted Nearest Neighbor Algorithms for the Graph Exploration Problem on Cycles

SOFSEM 2007 Weighted Nearest Neighbor Algorithms for the Graph Exploration Problem on Cycles. Eiji Miyano Kyushu Institute of Technology, Japan Joint work with Yuichi Asahiro, Shuichi Miyazaki, and Takuro Yoshimuta. Overview. Problems Related problem: Traveling Salesperson Problem (TSP)

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Computing Nash Equilibrium

Computing Nash Equilibrium. Presenter: Yishay Mansour. Outline. Problem Definition Notation Today: Zero-Sum game Next week: General Sum Games Multiple players. Model. Multiple players N={1, ... , n} Strategy set Player i has m actions S i = {s i1 , ... , s im }

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Scheduling Jobs with Varying Parallelizability

Scheduling Jobs with Varying Parallelizability. Ravishankar Krishnaswamy Carnegie Mellon University. Outline. Motivation Formalization of Problems A Concrete Example Generalizations. Motivation. Consider a scheduler on a multi-processor system

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Scalable Learning in Computer Vision

Scalable Learning in Computer Vision. Adam Coates Honglak Lee Rajat Raina Andrew Y. Ng Stanford University. Computer Vision is Hard. Introduction. One reason for difficulty: small datasets. Introduction. But the world is complex.

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Energy-Optimal Online Algorithms for Broadcasting in Wireless Network

Energy-Optimal Online Algorithms for Broadcasting in Wireless Network. Shay Kutten Hirotaka ono David Peleg Kunihiko Sadakane Masafumi Yamashita. Outline. Background Model Problems and Results Algorithms and Analyses Single Receiver Case Multiple Receivers Case Conclusion.

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Datenverwaltung in Rechnernetzen SS07 Vorl. 11, 9.7.07

Datenverwaltung in Rechnernetzen SS07 Vorl. 11, 9.7.07. Friedhelm Meyer auf der Heide. Page Migration in Static Networks. A r andomized online algorithm. Memoryless coin-flipping algorithm CF [Westbrook 9 1 ] Theorem : CF is 3-competitive against an adaptive-online

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COP 5725 Advanced Database System Presentation

COP 5725 Advanced Database System Presentation. Sheng Tan. PageRank on an Evolving Graph. Bahman Bahmani , Ravi Kumar, Mohammad Mahdian and Eli Upfal . In KDD, pages 24-32, 2012. Algorithmic paradigms. Classical ? Stationary data set ? Unrestricted Access to data Contemporary

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The Online Track Assignment Problem

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Hierarchical Mixture of Experts

Hierarchical Mixture of Experts. Presented by Qi An Machine learning reading group Duke University 07/15/2005. Outline. Background Hierarchical tree structure Gating networks Expert networks E-M algorithm Experimental results Conclusions. Background. The idea of mixture of experts

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Online Passive-Aggressive Algorithms

Online Passive-Aggressive Algorithms. Shai Shalev-Shwartz joint work with Koby Crammer, Ofer Dekel & Yoram Singer The Hebrew University Jerusalem, Israel. Three Decision Problems. Classification. Regression. Uniclass. Online Setting. Classification Regression Uniclass.

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Online Multi-Commodity Flow with High Demands

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Online Paging Algorithm

Online Paging Algorithm. Supervisor: Dr. Naveen Garg, Dr. Kavitha Telikepalli. By: Puneet C. Jain Bhaskar C. Chawda Yashu Gupta. Topics. 1. Introduction to paging algorithms 2. Definition of competitiveness 3. Randomized online algorithms 4. Oblivious adversary.

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Online Job Scheduling

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Real -Time Object Mapping Algorithm for Mobile Robots

Client applications. Server. Pioneer robot. Client thread. Database. Client thread. Client thread. Data manager. Saphira. Real -Time Object Mapping Algorithm for Mobile Robots. Marek Kopicki , Dr Jeremy Wyatt (project supervisor) . The University O f Birmingham. Introduction.

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