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2020 – today
- 2022
[i4]Tyler A. Perini, Amy Nicole Langville, Glenn Kramer, Jeff Shrager, Mark Shapiro:
Weight Set Decomposition for Weighted Rank Aggregation: An interpretable and visual decision support tool. CoRR abs/2206.00001 (2022)- [i3]Paul E. Anderson, Brandon Tat, Charlie Ward, Amy Nicole Langville, Kathryn E. Pedings-Behling:
Developing a Ranking Problem Library (RPLIB) from a data-oriented perspective. CoRR abs/2206.11258 (2022)
2010 – 2019
- 2019
- [j12]Paul E. Anderson, Timothy P. Chartier, Amy Nicole Langville:
The Rankability of Data. SIAM J. Math. Data Sci. 1(1): 121-143 (2019) - [j11]Paul E. Anderson, Timothy P. Chartier, Amy Nicole Langville:
Erratum: The Rankability of Data. SIAM J. Math. Data Sci. 1(3): 643-646 (2019) - 2014
- [j10]Timothy P. Chartier, Victoria Ellison
, Amy Nicole Langville:
A Davidson College multi-objective assignment problem: a case study. 4OR 12(4): 379-401 (2014) - [j9]Michael W. Berry, Timothy P. Chartier, Kevin R. Hutson, Amy Nicole Langville:
Identifying influential edges in a directed network: big events, upsets and non-transitivity. J. Complex Networks 2(2): 87-109 (2014) - [i2]Amy Nicole Langville, Carl Dean Meyer, Russell Albright, James Cox, David Duling:
Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization. CoRR abs/1407.7299 (2014) - 2012
- [i1]Ralph Abbey, Jeremy Diepenbrock, Amy Nicole Langville, Carl Dean Meyer, Shaina Race, Dexin Zhou:
Data Clustering via Principal Direction Gap Partitioning. CoRR abs/1211.4142 (2012) - 2011
- [j8]Timothy P. Chartier, Erich Kreutzer, Amy Nicole Langville, Kathryn E. Pedings:
Sensitivity and Stability of Ranking Vectors. SIAM J. Sci. Comput. 33(3): 1077-1102 (2011)
2000 – 2009
- 2008
- [p1]Amy Nicole Langville, Michael W. Berry:
Nonnegative Matrix Factorization for Document Classification. Next Generation of Data Mining 2008 - 2007
- [j7]Michael W. Berry, Murray Browne, Amy Nicole Langville, V. Paul Pauca, Robert J. Plemmons:
Algorithms and applications for approximate nonnegative matrix factorization. Comput. Stat. Data Anal. 52(1): 155-173 (2007) - 2006
- [b1]Amy Nicole Langville, Carl Dean Meyer:
Google's PageRank and beyond - the science of search engine rankings. Princeton University Press 2006, ISBN 978-0-691-12202-1, pp. I-VII, 1-224 - [j6]Amy Nicole Langville, Carl Dean Meyer:
Updating Markov Chains with an Eye on Google's PageRank. SIAM J. Matrix Anal. Appl. 27(4): 968-987 (2006) - [j5]Amy Nicole Langville, Carl Dean Meyer:
A Reordering for the PageRank Problem. SIAM J. Sci. Comput. 27(6): 2112-2120 (2006) - 2005
- [j4]Amy Nicole Langville, Carl Dean Meyer:
A Survey of Eigenvector Methods for Web Information Retrieval. SIAM Rev. 47(1): 135-161 (2005) - 2004
- [j3]Amy Nicole Langville, William J. Stewart:
Testing the Nearest Kronecker Product Preconditioner on Markov Chains and Stochastic Automata Networks. INFORMS J. Comput. 16(3): 300-315 (2004) - [j2]Amy Nicole Langville, William J. Stewart:
A Kronecker product approximate preconditioner for SANs. Numer. Linear Algebra Appl. 11(8-9): 723-752 (2004) - [c1]Amy Nicole Langville, Carl Dean Meyer:
Updating pagerank with iterative aggregation. WWW (Alternate Track Papers & Posters) 2004: 392-393 - 2003
- [j1]Amy Nicole Langville, Carl Dean Meyer:
Survey: Deeper Inside PageRank. Internet Math. 1(3): 335-380 (2003)
Coauthor Index
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