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Personalization & Recommender Systems

Personalization & Recommender Systems

  • tatyana-admore
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Bamshad Mobasher. Center for Web Intelligence. De...

bias to small & dense cluster

bias to small & dense cluster

  • alida-meadow
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. observed for . average association. . in ...

Guang can Liu Robust Subspace Clustering in High Dimension:

Guang can Liu Robust Subspace Clustering in High Dimension:

  • debby-jeon
  • 0 Slides

A Deterministic Result. 1. st. Annual Workshop o...

Supervised ranking hash for semantic similarity search

Supervised ranking hash for semantic similarity search

  • lindy-dunigan
  • 0 Slides

Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph...

Algorithms for NP-hard Optimization Problems

Algorithms for NP-hard Optimization Problems

  • test
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and Cluster Analysis. Dissertation Defense. Nan L...

Introduction to Graph

Introduction to Graph

  • pamella-moone
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Cluster Analysis. Outline. Introduction to Cluste...

ESSAY Compare and Contrast

ESSAY Compare and Contrast

  • giovanna-bartolotta
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Compare and contrast Soccer to Football using the...

CSE 554 Lecture 9: Laplacian Deformation

CSE 554 Lecture 9: Laplacian Deformation

  • mitsue-stanley
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Fall 2016. Review. Alignment. Registering source ...

Scaleable Entity Resolution

Scaleable Entity Resolution

  • conchita-marotz
  • 0 Slides

Kunho Kim. Why We Need Entity Resolution?. Why We...

9-6 Dilations You identified dilations and verified them as similarity transformations.

9-6 Dilations You identified dilations and verified them as similarity transformations.

  • lois-ondreau
  • 0 Slides

Draw dilations.. Draw dilations in the coordinate...

Entity Matching : How Similar Is Similar?

Entity Matching : How Similar Is Similar?

  • lindy-dunigan
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Jiannan. Wang (. Tsinghua. , China) . Guoliang. ...

Improving Distributional Similarity

Improving Distributional Similarity

  • faustina-dinatale
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with Lessons Learned from Word Embeddings. Presen...

Improving Distributional Similarity

Improving Distributional Similarity

  • mitsue-stanley
  • 0 Slides

with Lessons Learned from Word Embeddings. Omer L...

Vector-Space (Distributional)

Vector-Space (Distributional)

  • giovanna-bartolotta
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Lexical Semantics. 2. Information Retrieval Syste...

3.1 Clustering Finding a good clustering of the points is a fundamental

3.1 Clustering Finding a good clustering of the points is a fundamental

  • kittie-lecroy
  • 0 Slides

issue in . computing a representative simplicial ...

Soft Joins with TFIDF: Why and What

Soft Joins with TFIDF: Why and What

  • tatyana-admore
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1. Sim. Joins on Product Descriptions. Surface s...

Challenges in demonstrating biosimilarity and interchangeability of biosimilar products

Challenges in demonstrating biosimilarity and interchangeability of biosimilar products

  • calandra-battersby
  • 0 Slides

OMICS Group Biosimilars 2015 Birmingham, UK. 10-1...

Parallel Deterministic Annealing Clustering and its Application

Parallel Deterministic Annealing Clustering and its Application

  • myesha-ticknor
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to . LC-MS Data Analysis.  . October 7 2013. . ...

Chapter 9 Classification and

Chapter 9 Classification and

  • test
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Clustering. Classification and Clustering. Classi...

Search Engines Information Retrieval in Practice

Search Engines Information Retrieval in Practice

  • karlyn-bohler
  • 0 Slides

All slides ©Addison Wesley, 2008. Classification...

Analytical Similarity Assessment: Practical Challenges and Statistical Perspectives

Analytical Similarity Assessment: Practical Challenges and Statistical Perspectives

  • alida-meadow
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Richard Montes, Ph.D.. Hospira. , a Pfizer compan...

Chapter 5 Competitive Rivalry and

Chapter 5 Competitive Rivalry and

  • test
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Competitive Dynamics. Diane M. Sullivan, Ph.D., 2...

Discovering Overlapping Groups in Social Media

Discovering Overlapping Groups in Social Media

  • briana-ranney
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Xufei. Wang. , Lei Tang, . Huiji. . Gao. , and ...

Chapter 10 Interpersonal Attraction:

Chapter 10 Interpersonal Attraction:

  • lois-ondreau
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From First Impressions to Close Relationships. Th...

Linguistic Regularities in

Linguistic Regularities in

  • celsa-spraggs
  • 0 Slides

Sparse and Explicit . Word Representations. Omer ...

Semi-supervised Relation Extraction with Large-scale Word Clustering

Semi-supervised Relation Extraction with Large-scale Word Clustering

  • test
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Ang. Sun. Ralph . Grishman. Satoshi . Sekine....

Image searching Global Brand Database

Image searching Global Brand Database

  • tawny-fly
  • 0 Slides

Cyberworld. 20 June. 2018. Sandrine Ammann . Mark...

Continuous Audit at Insurance Companies

Continuous Audit at Insurance Companies

  • tawny-fly
  • 0 Slides

Youngbum. . Kim. , PhD. Student, Rutgers Univ. ....

Issue 2: Clustering of Folk Cultures

Issue 2: Clustering of Folk Cultures

  • faustina-dinatale
  • 0 Slides

Isolation promotes cultural diversity. Himalayan ...

Challenges in demonstrating biosimilarity and interchangeability of biosimilar products

Challenges in demonstrating biosimilarity and interchangeability of biosimilar products

  • stefany-barnette
  • 0 Slides

OMIC Group Biosimilars 2014. Hyderabad India. 27-...

ID 242 Portfolio Development

ID 242 Portfolio Development

  • debby-jeon
  • 0 Slides

Spring 2017. Zina . AlaswaD. Gestalt Theory Revie...

“Zoo” Fiction: Practice LEAP activity

“Zoo” Fiction: Practice LEAP activity

  • olivia-moreira
  • 0 Slides

1. Which situation most closely resembles this pa...

CS 124/LINGUIST 180 From

CS 124/LINGUIST 180 From

  • aaron
  • 0 Slides

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

Mixtures, clustering, spatial

Mixtures, clustering, spatial

  • pasty-toler
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[ & dynamic ] . point processes and big data ...

Clustering Mining of Massive Datasets

Clustering Mining of Massive Datasets

  • aaron
  • 0 Slides

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

K-means Clustering K-means Clustering

K-means Clustering K-means Clustering

  • cheryl-pisano
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What is clustering?. Why would we want to cluster...

Clustering tweets and webpages

Clustering tweets and webpages

  • celsa-spraggs
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Saket. . vishwasrao. Swapna . thorve. May 3, ...

Clustering What is Clustering?

Clustering What is Clustering?

  • tatiana-dople
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Unsupervised . learning. Seeks to organize data ....

Machine Learning for Signal Processing

Machine Learning for Signal Processing

  • alida-meadow
  • 0 Slides

Clustering. Bhiksha. Raj. Class 11. . 31 Mar 20...

A Computationally Efficient Approach for 2D-3D Image Registration

A Computationally Efficient Approach for 2D-3D Image Registration

  • phoebe-click
  • 0 Slides

Juri Minxha. Medical Image Analysis. Profe...

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