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Kiri Wagstaff
Kiri Wagstaff
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Titel
Zitiert von
Zitiert von
Jahr
Constrained k-means clustering with background knowledge
K Wagstaff, C Cardie, S Rogers, S Schrödl
Icml 1, 577-584, 2001
39722001
Clustering with instance-level constraints
K Wagstaff, C Cardie
AAAI/IAAI 1097, 577-584, 2000
9002000
Constrained clustering: Advances in algorithms, theory, and applications
S Basu, I Davidson, K Wagstaff
Chapman and Hall/CRC, 2008
7522008
Machine learning that matters
K Wagstaff
Proceedings of the Twenty-Ninth International Conference on Machine Learning …, 2012
3962012
Mining GPS traces for map refinement
S Schroedl, K Wagstaff, S Rogers, P Langley, C Wilson
Data mining and knowledge Discovery 9, 59-87, 2004
3282004
Noun phrase coreference as clustering
C Cardie, K Wagstaff
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 1999
3191999
Measuring constraint-set utility for partitional clustering algorithms
I Davidson, KL Wagstaff, S Basu
European conference on principles of data mining and knowledge discovery …, 2006
2892006
Machine learning for science and society
C Rudin, KL Wagstaff
Machine Learning 95, 1-9, 2014
1572014
The commensal real-time ASKAP fast-transients (CRAFT) survey
JP Macquart, M Bailes, NDR Bhat, GC Bower, JD Bunton, S Chatterjee, ...
Publications of the Astronomical Society of Australia 27 (3), 272-282, 2010
1532010
Multidocument summarization via information extraction
M White, T Korelsky, C Cardie, V Ng, D Pierce, K Wagstaff
Proceedings of the first international conference on Human language …, 2001
1512001
VAST: an ASKAP survey for variables and slow transients
T Murphy, S Chatterjee, DL Kaplan, J Banyer, ME Bell, HE Bignall, ...
Publications of the Astronomical Society of Australia 30, e006, 2013
1412013
Intelligent clustering with instance-level constraints
KL Wagstaff
Cornell University, 2002
1392002
Alpha seeding for support vector machines
D DeCoste, K Wagstaff
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
1132000
Clustering with missing values: no imputation required.
K Wagstaff
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2004
1112004
Onboard autonomy on the intelligent payload experiment cubesat mission
S Chien, J Doubleday, DR Thompson, KL Wagstaff, J Bellardo, C Francis, ...
Journal of Aerospace Information Systems 14 (6), 307-315, 2017
972017
When is constrained clustering beneficial, and why
KL Wagstaff, S Basu, I Davidson
Ionosphere 58 (60.1), 62-63, 2006
932006
Active constrained clustering by examining spectral eigenvectors
Q Xu, M desJardins, KL Wagstaff
Discovery Science: 8th International Conference, DS 2005, Singapore, October …, 2005
812005
V-fastr: The vlba fast radio transients experiment
RB Wayth, WF Brisken, AT Deller, WA Majid, DR Thompson, SJ Tingay, ...
The Astrophysical Journal 735 (2), 97, 2011
722011
Deep mars: Cnn classification of mars imagery for the pds imaging atlas
K Wagstaff, Y Lu, A Stanboli, K Grimes, T Gowda, J Padams
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
712018
Constrained Spectral Clustering under a Local Proximity Structure Assumption.
Q Xu, Marie desJardins, K Wagstaff
FLAIRS, 866-867, 2005
642005
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