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William M. Pottenger
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Books and Theses
- 1997
- [b1]William M. Pottenger:
Theory, Techniques, and Experiments in Solving Recurrences in Computer Programs. University of Illinois Urbana-Champaign, USA, 1997
Journal Articles
- 2011
- [j9]Murat Can Ganiz, Cibin George, William M. Pottenger:
Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification. IEEE Trans. Knowl. Data Eng. 23(7): 1022-1034 (2011) - 2009
- [j8]William Ribarsky, Brian D. Fisher, William M. Pottenger:
Science of analytical reasoning. Inf. Vis. 8(4): 254-262 (2009) - [j7]David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger:
Data transformations and representations for computation and visualization. Inf. Vis. 8(4): 275-285 (2009) - 2006
- [j6]April Kontostathis, William M. Pottenger:
A framework for understanding Latent Semantic Indexing (LSI) performance. Inf. Process. Manag. 42(1): 56-73 (2006) - 2005
- [j5]Tianhao Wu, William M. Pottenger:
A semi-supervised active learning algorithm for information extraction from textual data. J. Assoc. Inf. Sci. Technol. 56(3): 258-271 (2005) - [j4]Shenzhi Li, Tianhao Wu, William M. Pottenger:
Distributed higher order association rule mining using information extracted from textual data. SIGKDD Explor. 7(1): 26-35 (2005) - [j3]Jirada Kuntraruk, William M. Pottenger, Andrew M. Ross:
Application Resource Requirement Estimation in a Parallel-Pipeline Model of Execution. IEEE Trans. Parallel Distributed Syst. 16(12): 1154-1165 (2005) - 2004
- [j2]Lars E. Holzman, Todd A. Fisher, Leon M. Galitsky, April Kontostathis, William M. Pottenger:
A Software Infrastructure for Research in Textual Data Mining. Int. J. Artif. Intell. Tools 13(4): 829-850 (2004) - 1996
- [j1]William Blume, Ramon Doallo, Rudolf Eigenmann, John Grout, Jay P. Hoeflinger, Thomas Lawrence, Jaejin Lee, David A. Padua, Yunheung Paek, William M. Pottenger, Lawrence Rauchwerger, Peng Tu:
Parallel Programming with Polaris. Computer 29(12): 87-81 (1996)
Conference and Workshop Papers
- 2014
- [c25]Erik Blasch, James G. Nagy, Alex Aved, Eric K. Jones, William M. Pottenger, Arslan Basharat, Anthony Hoogs, Michael Schneider, Riad I. Hammoud, Genshe Chen, Dan Shen, Haibin Ling:
Context aided video-to-text information fusion. FUSION 2014: 1-8 - 2013
- [c24]Christie L. Nelson, Hannah Keiler, William M. Pottenger:
Modeling Microtext with Higher Order Learning. AAAI Spring Symposium: Analyzing Microtext 2013 - 2011
- [c23]Ashley Edwards, William M. Pottenger:
Higher order Q-Learning. ADPRL 2011: 128-134 - [c22]Becker Polverini, William M. Pottenger:
Using clustering to detect Chinese censorware. CSIIRW 2011: 30 - 2009
- [c21]Vikas Menon, William M. Pottenger:
A Higher Order Collective Classifier for detecting and classifying network events. ISI 2009: 125-130 - [c20]Murat Can Ganiz, Nikita I. Lytkin, William M. Pottenger:
Leveraging Higher Order Dependencies between Features for Text Classification. ECML/PKDD (1) 2009: 375-390 - 2007
- [c19]William M. Pottenger:
D-HOTM: distributed higher order text mining. DG.O 2007: 268-269 - [c18]Shenzhi Li, Christopher D. Janneck, Aditya P. Belapurkar, Murat Can Ganiz, Xiaoning Yang, Mark Dilsizian, Tianhao Wu, John M. Bright, William M. Pottenger:
Mining Higher-Order Association Rules from Distributed Named Entity Databases. ISI 2007: 236-243 - [c17]Linda B. Sherrell, Chang Liu, William M. Pottenger, Paul Gross:
NSF-DGE GK-12 teaching fellowships: changing student perceptions about computer science. SIGCSE 2007: 474-475 - 2006
- [c16]William M. Pottenger, Shenzhi Li, Christopher D. Janneck:
Distributed higher-order text mining: theory and practice. DG.O 2006: 446-447 - [c15]Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger:
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. ICDM 2006: 874-879 - 2005
- [c14]Faisal M. Khan, Mark G. Arnold, William M. Pottenger:
Hardware-based support vector machine classification in logarithmic number systems. ISCAS (5) 2005: 5154-5157 - 2004
- [c13]Faisal M. Khan, Mark G. Arnold, William M. Pottenger:
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems. DSD 2004: 254-261 - 2003
- [c12]Lars E. Holzman, Todd A. Fisher, Leon M. Galitsky, April Kontostathis, William M. Pottenger:
A Software Infrastructure for Research in Textual Data Mining. ICTAI 2003: 112-121 - [c11]Tianhao Wu, William M. Pottenger:
A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data. PAKDD 2003: 117-123 - 2002
- [c10]Ziyou Xiong, Xiang Zhou, William M. Pottenger, Thomas S. Huang:
Speeding up relevance feedback in image retrieval with triangle-inequality based algorithms. ICASSP 2002: 3373-3376 - 2001
- [c9]Irwin Alber, Morton S. Farber, Nancy Yeager, Ziyou Xiong, William M. Pottenger:
Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 56-66 - [c8]Jirada Kuntraruk, William M. Pottenger:
Massively Parallel Distributed Feature Extraction in Textual Data Mining Using HDDI(tm). HPDC 2001: 363-370 - [c7]Glenn D. Blank, William M. Pottenger, G. Drew Kessler, Martin Herr, Harriet Jaffe, Soma Roy:
CIMEL: constructive, collaborative inquiry-based multimedia E-learning. ITiCSE 2001: 179 - 1999
- [c6]William H. Hsu, Loretta S. Anvil, William M. Pottenger, David Tcheng, Michael Welge:
Self-organizing systems for knowledge discovery in large databases. IJCNN 1999: 2480-2485 - 1998
- [c5]Yi-Ming Chung, William M. Pottenger, Bruce R. Schatz:
Automatic Subject Indexing Using an Associative Neural Network. ACM DL 1998: 59-68 - [c4]William M. Pottenger:
The Role of Associativity and Commutativity in the Detection and Transformation of Loop-level Parallelism. International Conference on Supercomputing 1998: 188-195 - 1996
- [c3]William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jaejin Lee, Thomas Lawrence, Jay P. Hoeflinger, David A. Padua, Yunheung Paek, Paul Petersen, William M. Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford:
Restructuring Programs for High-Speed Computers with Polaris. ICPP Workshop 1996: 149-161 - 1995
- [c2]William M. Pottenger, Rudolf Eigenmann:
Idiom Recognition in the Polaris Parallelizing Compiler. International Conference on Supercomputing 1995: 444-448 - 1994
- [c1]William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jay P. Hoeflinger, David A. Padua, Paul Petersen, William M. Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford:
Polaris: Improving the Effectiveness of Parallelizing Compilers. LCPC 1994: 141-154
Parts in Books or Collections
- 2005
- [p2]Tianhao Wu, Faisal M. Khan, Todd A. Fisher, Lori A. Shuler, William M. Pottenger:
Posting Act Tagging Using Transformation-Based Learning. Foundations of Data Mining and knowledge Discovery 2005: 319-331 - [p1]April Kontostathis, William M. Pottenger, Brian D. Davison:
Identification of Critical Values in Latent Semantic Indexing. Foundations of Data Mining and knowledge Discovery 2005: 333-346
Coauthor Index
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