Peter Norvig
Peter Norvig

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peteratnorvig.com

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Bibliometrics: publication history
Average citations per article82.67
Citation Count3,224
Publication count39
Publication years1983-2016
Available for download15
Average downloads per article8,318.33
Downloads (cumulative)124,775
Downloads (12 Months)9,076
Downloads (6 Weeks)794
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39 results found Export Results: bibtex | endnote | acmref | csv

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1
The Semantic Web and the Semantics of the Web: Where Does Meaning Come From?
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12,   Downloads (12 Months): 152,   Downloads (Overall): 217

Full text available: PDFPDF
We would like to understand the meaning of content on the web. Bit where should that meaning come from? From markup language annotations created by the authors of the content? Crowdsourced from readers of the content? Automatically extracted by machine learning algorithms? This talk investigates the possibilities.
Keywords: question answering, knowledge extraction, semantic web

2
A survey of current practice and teaching of AI
Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok Goel, George Luger, Jim Marshall, Andrew Neel, Todd Neller, Peter Norvig
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

The field of AI has changed significantly in the past couple of years and will likely continue to do so. Driven by a desire to expose our students to relevant and modern materials, we conducted two surveys, one of AI instructors and one of AI practitioners. The surveys were aimed ...

3 published by ACM
Applying machine learning to programs
August 2015 OpenSym '15: Companion to the Proceedings of the 11th International Symposium on Open Collaboration
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 11,   Downloads (Overall): 32

Full text available: PDFPDF
Certain tasks, such as recognizing speech, or correcting spelling errors, are now routinely handled with machine learning algorithms. But most tasks are handled the old fashioned way, with programmers writing code line by line. Machine learning algorithms work by amassing large numbers of examples and extracting patterns from them. We ...

4 published by ACM
Machine Learning for Learning at Scale
March 2015 L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 46,   Downloads (Overall): 217

Full text available: PDFPDF
There is great enthusiasm for the idea that massive amounts of data from online interactions of learners with material can lead to a rapid improvement cycle, driven by analysis of the data, experimentation, and intervention to do more of what works and less of what doesn't. This talk discusses techniques ...

5 published by ACM
Machine learning for programming
October 2014 SPLASH '14: Proceedings of the companion publication of the 2014 ACM SIGPLAN conference on Systems, Programming, and Applications: Software for Humanity
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 14,   Downloads (12 Months): 80,   Downloads (Overall): 368

Full text available: PDFPDF
If you want to recognize speech or filter out spam emails, you will probably write a machine learning algorithm and will not try to write the whole program using a "traditional" software specification and implementation. There are many examples of successful machine learning solutions, but can we more broadly apply ...
Keywords: machine learning, programming

6 published by ACM
Teaching computing with the IPython notebook (abstract only)
Greg Wilson, Fernando Perez, Peter Norvig
March 2014 SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education
Publisher: ACM
Bibliometrics:
Citation Count: 1

The IPython Notebook is an interactive browser-based environment where you can combine code execution, text, mathematics, plots, and rich media into a single document. Originally designed for use as an electronic lab notebook for computational science, it is increasingly being used in teaching as well, and a rich ecosystem of ...
Keywords: electronic lab notebook, pedagogy, python

7 published by ACM
Panel: online learning platforms and data science
March 2014 L@S '14: Proceedings of the first ACM conference on Learning @ scale conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 16,   Downloads (12 Months): 68,   Downloads (Overall): 197

Full text available: PDFPDF
The software platforms that mediate online learning experiences are the common ground where learning science and computer science intersect. This panel will discuss the affordances of current online learning platforms and lessons learned in using them with students. The goal of the panel is to help learning scientists and computer ...
Keywords: massive open online courses, online learning, moocs

8 published by ACM
July 2012 Communications of the ACM: Volume 55 Issue 7, July 2012
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 571,   Downloads (12 Months): 8,315,   Downloads (Overall): 119,628

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By closely connecting research and development Google is able to conduct experiments on an unprecedented scale, often resulting in new capabilities for the company.

9 published by ACM
Internet scale data analysis
August 2011 KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 42,   Downloads (Overall): 1,150

Full text available: PDFPDF
This talk covers techniques for analyzing data sets with up to trillions of examples with billions of features, using thousands of computers. To operate at this scale requires an understanding of an increasing complex hardware hierarchy (e.g. cache, memory, SSD, another machine in the rack, disk, a machine in another ...
Keywords: large scale data analysis

10
Book review
April 2011 Artificial Intelligence: Volume 175 Issue 5-6, April, 2011
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0


11
The Artificial Intelligence
Stuart Russell, Peter Norvig
January 2010
Bibliometrics:
Citation Count: 33


12
Suggesting email view filters for triage and search
Mark Dredze, Bill N. Schilit, Peter Norvig
July 2009 IJCAI'09: Proceedings of the 21st international jont conference on Artifical intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Bibliometrics:
Citation Count: 2

Growing email volumes cause flooded inboxes and swelled email archives, making search and new email processing difficult. While emails have rich metadata, such as recipients and folders, suitable for creating filtered views, it is often difficult to choose appropriate filters for new inbox messages without first examining messages. In this ...

13
Editorial Note
Peter Norvig, Don Perlis
December 2006 Artificial Intelligence: Volume 170 Issue 18, December, 2006
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0


14
Introduction to the Special Review Issue
Don Perlis, Peter Norvig
December 2005 Artificial Intelligence: Volume 169 Issue 2, December 2005
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0


15
Introduction to the special review issue
Don Perlis, Peter Norvig
December 2005 Artificial Intelligence: Volume 169 Issue 2, December 2005
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0


16
Artificial Intelligence: A Modern Approach
Stuart J. Russell, Peter Norvig
February 2003
Bibliometrics:
Citation Count: 1,461

From the Publisher: Intelligent Agents - Stuart Russell and Peter Norvig show how intelligent agents can be built using AI methods, and explain how different agent designs are appropriate depending on the nature of the task and environment. Artificial Intelligence: A Modern Approach is the first AI text to present ...

17
EditorialIntelligent Help Systems for UNIX: Natural Language Dialogue
Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert Wilensky
October 2000 Artificial Intelligence Review - Special issue on intelligent help systems for Unix part III: natural language dialogue: Volume 14 Issue 4-5, Oct. 2000
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0


18
EditorialIntelligent Help Systems for UNIX: Planning and Knowledge Representation
Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert Wilensky
June 2000 Artificial Intelligence Review - special issue on intelligent help systems for Unix part II: planning and knowledge representation: Volume 14 Issue 3, June, 2000
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0


19
Virtual Database Technology: Transforming the Internet into a Database
Anand Rajaraman, Peter Norvig
July 1998 IEEE Internet Computing: Volume 2 Issue 4, July 1998
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 3

Much of the world's data lies outside relational databases-scattered across Web sites, file systems, nonrelational databases, and legacy applications. These data sources differ in the way they organize data, in the vocabulary they use, and in their data-access or query mechanisms. These differences make it difficult to combine data from ...

20
Adaptive software
Peter Norvig, David Cohn
January 1997 PC AI: Volume 11 Issue 1, Jan./Feb. 1997
Publisher: Knowledge Technology, Inc.
Bibliometrics:
Citation Count: 6




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