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Home | Lise Getoor

Skip to main content. Professor, Computer Science, University of California Santa Cruz. Lise Getoor, Ph.D. Professor of Computer Science. University of California Santa Cruz. Engineering 2, Room 341B. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitatio...

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Home | Lise Getoor | getoor.soe.ucsc.edu Reviews
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Skip to main content. Professor, Computer Science, University of California Santa Cruz. Lise Getoor, Ph.D. Professor of Computer Science. University of California Santa Cruz. Engineering 2, Room 341B. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitatio...
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Home | Lise Getoor | getoor.soe.ucsc.edu Reviews

https://getoor.soe.ucsc.edu

Skip to main content. Professor, Computer Science, University of California Santa Cruz. Lise Getoor, Ph.D. Professor of Computer Science. University of California Santa Cruz. Engineering 2, Room 341B. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitatio...

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getoor.soe.ucsc.edu getoor.soe.ucsc.edu
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Teaching | Lise Getoor

https://getoor.soe.ucsc.edu/teaching

Skip to main content. Professor, Computer Science, University of California Santa Cruz. Winter 2016 : CMPS140: Artificial Intelligence. Fall 2015 : CMPS290C Graphs, Networks and Causal Modeling. Winter 2015 : CMPS140: Artificial Intelligence. Spring 2014 : CMPS290C Advanced Analytics for Heterogeneous Information Networks. 2016 Lise Getoor- This is a Free Drupal Theme. Ported to Drupal for the Open Source Community by Drupalizing. A Project of More than (just) Themes. Original design by Simple Themes.

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Bio | Lise Getoor

https://getoor.soe.ucsc.edu/bio

Skip to main content. Professor, Computer Science, University of California Santa Cruz. I was born in Seattle, WA. At the time, my father, Ronald Getoor. Was a professor in the mathematics department at the University of Washington, and my mother, Ann Getoor, worked on the design of commercial airplanes at Boeing. When I was four, my dad took a position in the math department at UCSD. And we moved to San Diego. I grew up in San Diego, and am spoilt forever by its temperate climate. After graduating from ...

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Home | Lise Getoor

https://getoor.soe.ucsc.edu/home

Skip to main content. Professor, Computer Science, University of California Santa Cruz. Lise Getoor, Ph.D. Professor of Computer Science. University of California Santa Cruz. Engineering 2, Room 341B, MS: SOE3. Santa Cruz, CA 95064. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, informatio...

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12th International Workshop on Mining and Learning with Graphs (MLG 2016)

http://www.mlgworkshop.org/2016

Held in conjunction with KDD'16. Aug 14, 2016 - San Francisco, CA. 12th International Workshop on. Mining and Learning with Graphs. There are many challenges involved in effectively mining and learning from this kind of data, including:. Understanding the different techniques applicable, including graph mining algorithms, graphical models, latent variable models, matrix factorization methods and more. Dealing with the heterogeneity of the data. The common need for information integration and alignment.

berthuang.wordpress.com berthuang.wordpress.com

Upcoming AISTATS paper « Bert Huang's Blog

https://berthuang.wordpress.com/2015/05/04/upcoming-aistats-paper

Bert Huang's Blog. May 4, 2015. In about a week, our paper. Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. Me, and Lise. Will appear at AISTATS in San Diego. (Steve will be giving a talk on it Monday morning.). The paper title is a mouthful, and it includes a pretty technical result, so here’s a weak attempt at explaining the intuition and take-away messages. Logical Markov random fields. Between marginal probabilities of variables and factors (i.e...

berthuang.wordpress.com berthuang.wordpress.com

Bert Huang « Bert Huang's Blog

https://berthuang.wordpress.com/author/berty38

Bert Huang's Blog. Author Archives: Bert Huang. How I prefer students address me. October 7, 2016. A few students have asked me lately how I prefer to be addressed. Here’s an ordering of my preference. But no big deal. You can also just call me “hey you,” or nothing. Just don’t call me Mr. Huang. Machine Learning’s Poor Fit for Real Data. August 3, 2016. Origins in Experimental Statistics. In modern data, measurements are taken from “the wild.” Modern data is analogous to a version of the...Illustration ...

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May « 2015 « Bert Huang's Blog

https://berthuang.wordpress.com/2015/05

Bert Huang's Blog. Monthly Archives: May 2015. May 4, 2015. In about a week, our paper. Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. Me, and Lise. Will appear at AISTATS in San Diego. (Steve will be giving a talk on it Monday morning.). The paper title is a mouthful, and it includes a pretty technical result, so here’s a weak attempt at explaining the intuition and take-away messages. Logical Markov random fields. Between marginal probabilities of va...

ikdd.acm.org ikdd.acm.org

ACM IKDD Conference on Data Science, 2017

http://ikdd.acm.org/cods2017

CODS 2017 is co-located with COMAD 2017. February 17, 2017]. CODS 2017 invited speakers - Soumen Chakrabarti. IIT Bombay), Lise Getoor. UCSC), Srini Parthasarathy. OSU) and Ruslan Salakhutdinov. February 4, 2017]. Registration are open and more information available here on registration page. February 3, 2017]. Applications are open for Student Travel Grant. Please apply here. January 20, 2017]. Industry Track accepted papers announced. Please see here. January 11, 2017]. January 03, 2017].

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Home | Lise Getoor

Skip to main content. Professor, Computer Science, University of California Santa Cruz. Lise Getoor, Ph.D. Professor of Computer Science. University of California Santa Cruz. Engineering 2, Room 341B. My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitatio...

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