'Shortest path length' presentation slideshows

Heuristic Search

Heuristic Search. CMSC 100 Tuesday, November 4, 2008 Prof. Marie desJardins. Summary of Topics. What is heuristic search? Examples of search problems Search methods Uninformed search Informed search Local search Game trees. Building Goal-Based Intelligent Agents.

1.08k views • 61 slides

Heuristic Search

Heuristic Search. CMSC 100 Tuesday, November 4, 2008 Prof. Marie desJardins. Summary of Topics. What is heuristic search? Examples of search problems Search methods Uninformed search Informed search Local search Game trees. Building Goal-Based Intelligent Agents.

886 views • 61 slides

Planetary-Scale Views on a Large Instant-Messaging Network

Jure Leskovec (jure@cs.stanford.edu) Joint work with Eric Horvitz, Microsoft Research. Planetary-Scale Views on a Large Instant-Messaging Network. Instant Messaging. Contact (buddy) list Messaging window. Instant Messaging as a Network. Buddy. Conversation.

620 views • 47 slides

A Framework for Ontology-Based Knowledge Management System Jiangning Wu

A Framework for Ontology-Based Knowledge Management System Jiangning Wu Dalian University of Technology, China. Introduction Background Problems Solution Focus Contributions. Research Center of Knowledge Science & Technology, DUT. Introduction.

735 views • 46 slides

A Network-based Approach for Predicting Missing Pathway Interactions

A Network-based Approach for Predicting Missing Pathway Interactions. Ankush Bansal 658347261. Outline. Protein-Protein Interactions and Signaling pathway Problem statement and variations of problem Shortest distance algorithm Greedy approach to predict missing edges Other approaches

522 views • 40 slides

Approximation Algorithms for Path-Planning Problems

Approximation Algorithms for Path-Planning Problems. with Nikhil Bansal, Avrim Blum and Adam Meyerson. Shuchi Chawla. The Trick-o-Treaters Problem. Collect as much candy as possible within 6pm and 8pm More candy ? more popularity with the kids Some complicating constraints

710 views • 30 slides

Dijkstra's algorithm

Dijkstra's algorithm. By Laksman Veeravagu and Luis Barrera Edited by: Manuela Caicedo, Francisco Morales, Rafael Feliciano, and Carlos Jimenez. Note. This presentation was downloaded from the internet. Our group edited the following slides: 6 and 7. We also added the slides 18 to 22.

471 views • 29 slides

Algorithms ( and Datastructures )

Algorithms ( and Datastructures ). Lecture 9 MAS 714 part 2 Hartmut Klauck. Connectivity by Matrix Multiplication. Problem: we can decide connectivity for all pairs , but have not solved APD or APSP!. APD for undirected unweighted graphs.

386 views • 28 slides

Global topological properties of biological networks

Global topological properties of biological networks. Protein-Protein Interaction Network. Saccharomyces cerevisiae. Node: protein Edge: protein-protein interaction. E. coli metabolic network. Basic features of a network. Degree distribution Clustering coefficients

460 views • 28 slides

Exploring PPI networks using Cytoscape

Exploring PPI networks using Cytoscape. EMBO Practical Course Session 8 Nadezhda Doncheva and Piet Molenaar. Course Outline. Lectures & Labs Protein focus Graph context Demo & Do it yourself use cases Data from recent literature Tips & Tricks Biological questions I have a protein

514 views • 27 slides

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Additive Spanners in Nearly Quadratic Time

Additive Spanners in Nearly Quadratic Time. David Woodruff IBM Almaden. Talk Outline. Spanners Definition Applications Previous work Our Results Our Techniques for Additive- 6 spanner New existence proof Efficiency Conclusion. Spanners.

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317 views • 21 slides

RAIK 283 Data Structures & Algorithms

340 views • 20 slides

Algorithms for Orienteering and Discounted-Reward TSP

Algorithms for Orienteering and Discounted-Reward TSP. Shuchi Chawla Carnegie Mellon University Joint work with Avrim Blum, Adam Meyerson, David Karger, Maria Minkoff and Terran Lane. The focus of our paper. Orienteering Dis. Rew. TSP. reward.

667 views • 18 slides

Classes of complex networks defined by role-to-role connectivity profiles

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CMSC 341

CMSC 341. Graphs. Basic Graph Definitions. A graph G = (V,E) consists of a finite set of vertices , V, and a set of edges , E. Each edge is a pair (v,w) where v, w ? V. V and E are sets, so each vertex v ? V is unique, and each edge e ? E is unique.

309 views • 17 slides

A Random Walk Approach to Modeling the Dynamics of the Blogosphere

A Random Walk Approach to Modeling the Dynamics of the Blogosphere. Alex X. Liu Dept. of Computer Science and Engineering Michigan State University Joint work with M. Zubair Shafiq. Background. Important niche of online social networks Blogosphere consists of two networks

295 views • 17 slides