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'''[[Main Page|Home]] * [[People]] * Max Chickering'''
[[FILE:MaxChickering.jpg|border|right|thumb|link=https://www.microsoft.com/en-us/research/people/dmax/| Max Chickering <ref>[https://www.microsoft.com/en-us/research/people/dmax/ Max Chickering at Microsoft Research]</ref> ]]
'''David Maxwell (Max) Chickering''',<br/>
an American computer scientist and [[Microsoft]] employee working in Microsoft Live Labs and formerly as member of the ''Machine Learning and Applied Statistics (MLAS) group'' of [https://en.wikipedia.org/wiki/Microsoft_Research Microsoft Research]. He received his Ph.D. in computer science from the [https://en.wikipedia.org/wiki/University_of_California,_Los_Angeles University of California, Los Angeles]. His research interests covers [[Search|search]] algorithms and practical applications of [[Learning|machine-learning]] algorithms.
=Selected Publications=
<ref>[http://ilk.uvt.nl/icga/journal/docs/References.pdf ICGA Reference Database] (pdf)</ref> <ref>[http://dblp.org/pers/hd/c/Chickering:David_Maxwell dblp: David Maxwell Chickering]</ref>
==1990 ...==
* [[Richard Korf]], [[Max Chickering]] ('''1993'''). ''[http://www.aaai.org/Library/Symposia/Fall/1993/fs93-02-006.php Best-first Minimax Search: First Results].'' [[Conferences#AAAI-93|AAAI-93]]
* [[Richard Korf]], [[Max Chickering]] ('''1994'''). ''[http://www.aaai.org/Library/AAAI/1994/aaai94-210.php Best-first minimax search: Othello results].'' [[Conferences#AAAI-94|AAAI-94]], [http://www.aaai.org/Papers/AAAI/1994/AAAI94-210.pdf pdf]
* [[David Heckerman]], [[Dan Geiger]], [[Max Chickering]] ('''1995'''). ''Learning Bayesian Networks: The Combination of Knowledge and Statistical Data''. Machine Learning, Vol. 20, [http://research.microsoft.com/en-us/um/people/dmax/publications/ml95.pdf pdf]
* [[Max Chickering]], [[Dan Geiger]], [[David Heckerman]] ('''1995'''). ''On finding a cycle basis with a shortest maximal cycle.'' [https://en.wikipedia.org/wiki/Information_Processing_Letters Information Processing Letters], Vol. 54, [http://research.microsoft.com/en-us/um/people/dmax/publications/ipl95.pdf pdf]
* [[Richard Korf]], [[Max Chickering]] ('''1996'''). ''[https://www.microsoft.com/en-us/research/publication/best-first-minimax-search/ Best-first minimax search]''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_(journal) Artificial Intelligence], Vol. 84, No 1-2
* [[Max Chickering]], [[David Heckerman]] ('''1997'''). ''Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables''. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.53.6141&rep=rep1&type=pdf pdf]
==2000 ...==
* [[Max Chickering|David Maxwell Chickering]] ('''2002'''). ''Learning Equivalence Classes of Bayesian-Network Structures''. [https://en.wikipedia.org/wiki/Journal_of_Machine_Learning_Research Journal of Machine Learning Research], Vol. 2
* [[Max Chickering|David Maxwell Chickering]] ('''2002'''). ''Optimal Structure Identification With Greedy Search''. [https://en.wikipedia.org/wiki/Journal_of_Machine_Learning_Research Journal of Machine Learning Research], Vol. 3
==2010 ...==
* [[Denis Xavier Charles]], [[Max Chickering]], [http://research.microsoft.com/en-us/um/people/nikdev/ Nikhil R. Devanur], [http://www.eng.auburn.edu/~jvalenz/Colloquia2007/Kamal.htm Kamal Jain], [http://www.cs.northwestern.edu/~msanghi/index_files/resume.htm Manan Sanghi] ('''2010'''). ''Fast algorithms for finding matchings in lopsided bipartite graphs with applications to display ads''. [http://www.sigecom.org/ec10/ ACM Conference on Electronic Commerce 2010], [http://research.microsoft.com/en-us/um/people/nikdev/pubs/waterlevel.pdf pdf]
* [https://scholar.google.com/citations?user=ajIYB6wAAAAJ&hl=en Christopher Meek], [[Max Chickering|David Maxwell Chickering]] ('''2012'''). ''Practically Perfect''. [https://arxiv.org/abs/1212.2503 arXiv:1212.2503]
=External Links=
* [https://www.microsoft.com/en-us/research/people/dmax/ Max Chickering at Microsoft Research]
* [https://www.linkedin.com/in/max-chickering-229baa33/ Max Chickering | LinkedIn]
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:MaxChickering.jpg|border|right|thumb|link=https://www.microsoft.com/en-us/research/people/dmax/| Max Chickering <ref>[https://www.microsoft.com/en-us/research/people/dmax/ Max Chickering at Microsoft Research]</ref> ]]
'''David Maxwell (Max) Chickering''',<br/>
an American computer scientist and [[Microsoft]] employee working in Microsoft Live Labs and formerly as member of the ''Machine Learning and Applied Statistics (MLAS) group'' of [https://en.wikipedia.org/wiki/Microsoft_Research Microsoft Research]. He received his Ph.D. in computer science from the [https://en.wikipedia.org/wiki/University_of_California,_Los_Angeles University of California, Los Angeles]. His research interests covers [[Search|search]] algorithms and practical applications of [[Learning|machine-learning]] algorithms.
=Selected Publications=
<ref>[http://ilk.uvt.nl/icga/journal/docs/References.pdf ICGA Reference Database] (pdf)</ref> <ref>[http://dblp.org/pers/hd/c/Chickering:David_Maxwell dblp: David Maxwell Chickering]</ref>
==1990 ...==
* [[Richard Korf]], [[Max Chickering]] ('''1993'''). ''[http://www.aaai.org/Library/Symposia/Fall/1993/fs93-02-006.php Best-first Minimax Search: First Results].'' [[Conferences#AAAI-93|AAAI-93]]
* [[Richard Korf]], [[Max Chickering]] ('''1994'''). ''[http://www.aaai.org/Library/AAAI/1994/aaai94-210.php Best-first minimax search: Othello results].'' [[Conferences#AAAI-94|AAAI-94]], [http://www.aaai.org/Papers/AAAI/1994/AAAI94-210.pdf pdf]
* [[David Heckerman]], [[Dan Geiger]], [[Max Chickering]] ('''1995'''). ''Learning Bayesian Networks: The Combination of Knowledge and Statistical Data''. Machine Learning, Vol. 20, [http://research.microsoft.com/en-us/um/people/dmax/publications/ml95.pdf pdf]
* [[Max Chickering]], [[Dan Geiger]], [[David Heckerman]] ('''1995'''). ''On finding a cycle basis with a shortest maximal cycle.'' [https://en.wikipedia.org/wiki/Information_Processing_Letters Information Processing Letters], Vol. 54, [http://research.microsoft.com/en-us/um/people/dmax/publications/ipl95.pdf pdf]
* [[Richard Korf]], [[Max Chickering]] ('''1996'''). ''[https://www.microsoft.com/en-us/research/publication/best-first-minimax-search/ Best-first minimax search]''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_(journal) Artificial Intelligence], Vol. 84, No 1-2
* [[Max Chickering]], [[David Heckerman]] ('''1997'''). ''Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables''. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.53.6141&rep=rep1&type=pdf pdf]
==2000 ...==
* [[Max Chickering|David Maxwell Chickering]] ('''2002'''). ''Learning Equivalence Classes of Bayesian-Network Structures''. [https://en.wikipedia.org/wiki/Journal_of_Machine_Learning_Research Journal of Machine Learning Research], Vol. 2
* [[Max Chickering|David Maxwell Chickering]] ('''2002'''). ''Optimal Structure Identification With Greedy Search''. [https://en.wikipedia.org/wiki/Journal_of_Machine_Learning_Research Journal of Machine Learning Research], Vol. 3
==2010 ...==
* [[Denis Xavier Charles]], [[Max Chickering]], [http://research.microsoft.com/en-us/um/people/nikdev/ Nikhil R. Devanur], [http://www.eng.auburn.edu/~jvalenz/Colloquia2007/Kamal.htm Kamal Jain], [http://www.cs.northwestern.edu/~msanghi/index_files/resume.htm Manan Sanghi] ('''2010'''). ''Fast algorithms for finding matchings in lopsided bipartite graphs with applications to display ads''. [http://www.sigecom.org/ec10/ ACM Conference on Electronic Commerce 2010], [http://research.microsoft.com/en-us/um/people/nikdev/pubs/waterlevel.pdf pdf]
* [https://scholar.google.com/citations?user=ajIYB6wAAAAJ&hl=en Christopher Meek], [[Max Chickering|David Maxwell Chickering]] ('''2012'''). ''Practically Perfect''. [https://arxiv.org/abs/1212.2503 arXiv:1212.2503]
=External Links=
* [https://www.microsoft.com/en-us/research/people/dmax/ Max Chickering at Microsoft Research]
* [https://www.linkedin.com/in/max-chickering-229baa33/ Max Chickering | LinkedIn]
=References=
<references />
'''[[People|Up one level]]'''
