Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now

Search Results for 'Leskovec'

Leskovec published presentations and documents on DocSlides.

CS 124/LINGUIST 180 From

CS 124/LINGUIST 180 From

  • aaron
  • 0 Slides

Languages . to Information. Dan Jurafsky. Stanfor...

CS 124/LINGUIST 180 From

CS 124/LINGUIST 180 From

  • lindy-dunigan
  • 0 Slides

Languages . to Information. Dan Jurafsky. Stanfor...

Analysis of Large Graphs:

Analysis of Large Graphs:

  • min-jolicoeur
  • 0 Slides

Overlapping Communities. Mining of Massive Datase...

CS 124/LINGUIST 180 From

CS 124/LINGUIST 180 From

  • sherrill-nordquist
  • 54 Slides

Languages . to Information. Dan Jurafsky. Stanfor...

Link Analysis: PageRank

Link Analysis: PageRank

  • rivernescafe
  • 43 Slides

Ranking Nodes on the Graph. Web pages are not equa...

Recommender Systems and Collaborative Filtering

Recommender Systems and Collaborative Filtering

  • eliza
  • 72 Slides

Introduction to Recommender Systems. Recommender s...

Steering User Behavior with Badges Ashton Anderson Daniel Huttenlocher Jon Kleinberg Jure Leskovec Stanford University Cornell University Cornell University Stanford University ashtoncs

Steering User Behavior with Badges Ashton Anderson Daniel Huttenlocher Jon Kleinberg Jure Leskovec Stanford University Cornell University Cornell University Stanford University ashtoncs

  • lindy-dunigan
  • 13 Slides

stanfordedu dph kleinbercscornelledu jurecsstanfor...

A computational approach to politeness with application to social factors Cristian DanescuNiculescuMizil Moritz Sudhof Dan Jurafsky Jure Leskovec and Christopher Potts Computer Science Department L

A computational approach to politeness with application to social factors Cristian DanescuNiculescuMizil Moritz Sudhof Dan Jurafsky Jure Leskovec and Christopher Potts Computer Science Department L

  • marina-yarberry
  • 10 Slides

stanfordedu sudhof jurafsky cgpottsstanfordedu Abs...

Memetracking and the Dynamics of the News Cycle Jure Leskovec Lars Backstrom Jon Kleinberg Cornell University Stanford University jurecs

Memetracking and the Dynamics of the News Cycle Jure Leskovec Lars Backstrom Jon Kleinberg Cornell University Stanford University jurecs

  • celsa-spraggs
  • 9 Slides

cornelledu larscscornelledu kleinbercscornelledu A...

How Community Feedback Shapes User Behavior Justin Cheng Cristian DanescuNiculescuMizil Jure Leskovec Stanford University Max Planck Institute SWS jcccf jurecs

How Community Feedback Shapes User Behavior Justin Cheng Cristian DanescuNiculescuMizil Jure Leskovec Stanford University Max Planck Institute SWS jcccf jurecs

  • tawny-fly
  • 10 Slides

stanfordedu cristianmpiswsorg Abstract Social medi...

Data Association for Topic Intensity Tracking Andreas Krause krauseacs

Data Association for Topic Intensity Tracking Andreas Krause krauseacs

  • phoebe-click
  • 8 Slides

cmuedu Jure Leskovec jurecscmuedu Carlos Guestrin ...

Modeling Information Diffusion in Implicit Networks Jaewon Yang EE Department Stanford University crucisstanford

Modeling Information Diffusion in Implicit Networks Jaewon Yang EE Department Stanford University crucisstanford

  • lindy-dunigan
  • 12 Slides

edu Jure Leskovec CS Department Stanford Universit...

Patterns of Temporal Variation in Online Media Jaewon Yang Stanford University crucisstanford

Patterns of Temporal Variation in Online Media Jaewon Yang Stanford University crucisstanford

  • lois-ondreau
  • 10 Slides

edu Jure Leskovec Stanford University jurecsstanfo...

Finding Progression Stages in Timeevolving Event Sequences Jaewon Yang Julian McAuley Jure Leskovec Paea LePendu Nigam Shah Computer Science Stanford University jayang jmcauley jurecs

Finding Progression Stages in Timeevolving Event Sequences Jaewon Yang Julian McAuley Jure Leskovec Paea LePendu Nigam Shah Computer Science Stanford University jayang jmcauley jurecs

  • tatiana-dople
  • 11 Slides

stanfordedu Biomedical Informatics Stanford Univer...

Patterns of Temporal Variation in Online Media Jaewon Yang Stanford University crucisstanford

Patterns of Temporal Variation in Online Media Jaewon Yang Stanford University crucisstanford

  • lois-ondreau
  • 10 Slides

edu Jure Leskovec Stanford University jurecsstanfo...

Dening and Evaluating Network Communities based on Ground truth Jaewon Yang Stanford University crucisstanford

Dening and Evaluating Network Communities based on Ground truth Jaewon Yang Stanford University crucisstanford

  • olivia-moreira
  • 10 Slides

edu Jure Leskovec Stanford University jurecsstanfo...

Correcting for Missing Data in Information Cascades Eldar Sadikov Montserrat Medina Jure Leskovec Hector GarciaMolina eldarjurehectorcs

Correcting for Missing Data in Information Cascades Eldar Sadikov Montserrat Medina Jure Leskovec Hector GarciaMolina eldarjurehectorcs

  • lois-ondreau
  • 10 Slides

stanfordedu mmmedinastanfordedu Stanford Universit...

Costeffective Outbreak Detection in Networks Jure Leskovec Carnegie Mellon University Andreas Krause Carnegie Mellon University Carlos Guestrin Carnegie Mellon University Christos Faloutsos Carnegie

Costeffective Outbreak Detection in Networks Jure Leskovec Carnegie Mellon University Andreas Krause Carnegie Mellon University Carlos Guestrin Carnegie Mellon University Christos Faloutsos Carnegie

  • alida-meadow
  • 10 Slides

We present a general methodology for near optimal...

Learning to Discover Social Circles in Ego Networks Ju

Learning to Discover Social Circles in Ego Networks Ju

  • liane-varnes
  • 9 Slides

stanfordedu Jure Leskovec Stanford USA jurecsstanf...

Mining of Massive Datasets:

Mining of Massive Datasets:

  • stefany-barnette
  • 29 Slides

Course Introduction. Mining of Massive Datasets. ...

Microscopic Evolution of Social Networks

Microscopic Evolution of Social Networks

  • celsa-spraggs
  • 21 Slides

Jure . Leskovec. , CMU. Lars . Backstrom. , Corne...

J. Leskovec, D. Huttenlocher, J. Kleinberg

J. Leskovec, D. Huttenlocher, J. Kleinberg

  • marina-yarberry
  • 27 Slides

Paper Review by Rachel Katz. Signed Networks . in...

Finding Similar Items

Finding Similar Items

  • lindy-dunigan
  • 35 Slides

MMDS . Secs. . 3.2-3.4. . Slides adapted from: . ...

LinearProgrammingBoostingforUnevenDatasetsJurijLeskovecJurij.Leskovec@

LinearProgrammingBoostingforUnevenDatasetsJurijLeskovecJurij.Leskovec@

  • tatiana-dople
  • 100 Slides

Given andatrainingset:S=(x1;y1);:::;(xm;ym)wherexi...

Randomized / Hashing Algorithms

Randomized / Hashing Algorithms

  • karlyn-bohler
  • 72 Slides

Shannon Quinn. (with . thanks to William Cohen of...

Analysis of Large Graphs:

Analysis of Large Graphs:

  • conchita-marotz
  • 63 Slides

Link . Analysis, PageRank. Mining of Massive Dat...

Basics of

Basics of

  • marina-yarberry
  • 93 Slides

MapReduce. Shannon Quinn. Today. Naïve . Bayes. ...

Advertising on the Web

Advertising on the Web

  • liane-varnes
  • 39 Slides

Mining of Massive Datasets. Jure Leskovec, . Anan...

Frequent

Frequent

  • briana-ranney
  • 59 Slides

Itemset. Mining & Association Rules. Mining ...

Dimensionality Reduction:

Dimensionality Reduction:

  • marina-yarberry
  • 68 Slides

SVD & CUR. Mining of Massive Datasets. Jure L...

Recommender Systems:

Recommender Systems:

  • sherrill-nordquist
  • 63 Slides

Latent Factor Models. Mining of Massive Datasets....

Finding Similar Items

Finding Similar Items

  • cheryl-pisano
  • 30 Slides

MMDS . Secs. . 3.2-3.4. . Slides adapted from: . ...

Mining Data Streams

Mining Data Streams

  • trish-goza
  • 46 Slides

(Part 1). Mining of Massive Datasets. Jure Leskov...

Mining Data Streams

Mining Data Streams

  • min-jolicoeur
  • 46 Slides

(Part . 2). Mining of Massive Datasets. Jure Lesk...

Dimensionality Reduction:

Dimensionality Reduction:

  • briana-ranney
  • 0 Slides

SVD & CUR. Mining of Massive Datasets. Jure L...

Clustering Mining of Massive Datasets

Clustering Mining of Massive Datasets

  • aaron
  • 0 Slides

Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullm...

Theory of Locality Sensitive Hashing

Theory of Locality Sensitive Hashing

  • aaron
  • 0 Slides

CS246: Mining Massive Datasets. Jure Leskovec, . ...

Mining Data Streams (Part

Mining Data Streams (Part

  • test
  • 0 Slides

2). Mining of Massive Datasets. Jure Leskovec, . ...

Theory of Locality Sensitive Hashing

Theory of Locality Sensitive Hashing

  • tatyana-admore
  • 0 Slides

CS246: Mining Massive Datasets. Jure Leskovec, . ...

Recommender Systems: Con

Recommender Systems: Con

  • lois-ondreau
  • 0 Slides

t. e. n. t. -based Systems & Collaborative Fi...

Copyright © 2024 DocSlides. All Rights Reserved