Andrew McCallum

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86EEHaizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen: Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers Springer 2009
85 William W. Cohen, Andrew McCallum, Sam T. Roweis: Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 ACM 2008
84EERobert Hall, Charles A. Sutton, Andrew McCallum: Unsupervised deduplication using cross-field dependencies. KDD 2008: 310-317
83EEMichael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum: A unified approach for schema matching, coreference and canonicalization. KDD 2008: 722-730
82EEMichael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan: A Discriminative Approach to Ontology Mapping. NTII 2008: 16-19
81EEGregory Druck, Gideon S. Mann, Andrew McCallum: Learning from labeled features using generalized expectation criteria. SIGIR 2008: 595-602
80EEDavid M. Mimno, Andrew McCallum: Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression. UAI 2008: 411-418
79EEPallika Kanani, Andrew McCallum: Resource-Bounded Information Gathering for Correlation Clustering. COLT 2007: 625-627
78EEAron Culotta, Michael L. Wick, Andrew McCallum: First-Order Probabilistic Models for Coreference Resolution. HLT-NAACL 2007: 81-88
77EEGideon S. Mann, Andrew McCallum: Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields. HLT-NAACL (Short Papers) 2007: 109-112
76EEVidit Jain, Erik G. Learned-Miller, Andrew McCallum: People-LDA: Anchoring Topics to People using Face Recognition. ICCV 2007: 1-8
75EEGary B. Huang, Erik G. Learned-Miller, Andrew McCallum: Cryptogram Decoding for OCR Using Numerization Strings. ICDAR 2007: 208-212
74EEXuerui Wang, Andrew McCallum, Xing Wei: Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval. ICDM 2007: 697-702
73EEGideon S. Mann, Andrew McCallum: Simple, robust, scalable semi-supervised learning via expectation regularization. ICML 2007: 593-600
72EEDavid M. Mimno, Wei Li, Andrew McCallum: Mixtures of hierarchical topics with Pachinko allocation. ICML 2007: 633-640
71EECharles A. Sutton, Andrew McCallum: Piecewise pseudolikelihood for efficient training of conditional random fields. ICML 2007: 863-870
70EEPallika Kanani, Andrew McCallum, Chris Pal: Improving Author Coreference by Resource-Bounded Information Gathering from the Web. IJCAI 2007: 429-434
69EEDavid M. Mimno, Andrew McCallum: Mining a digital library for influential authors. JCDL 2007: 105-106
68EEDavid M. Mimno, Andrew McCallum: Organizing the OCA: learning faceted subjects from a library of digital books. JCDL 2007: 376-385
67EEAron Culotta, Michael L. Wick, Robert Hall, Matthew Marzilli, Andrew McCallum: Canonicalization of database records using adaptive similarity measures. KDD 2007: 201-209
66EEGregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu: Semi-supervised classification with hybrid generative/discriminative methods. KDD 2007: 280-289
65EEDavid M. Mimno, Andrew McCallum: Expertise modeling for matching papers with reviewers. KDD 2007: 500-509
64EEXuerui Wang, Chris Pal, Andrew McCallum: Generalized component analysis for text with heterogeneous attributes. KDD 2007: 794-803
63EEAndrew McCallum, Xuerui Wang, Andrés Corrada-Emmanuel: Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email. J. Artif. Intell. Res. (JAIR) 30: 249-272 (2007)
62EEHaizheng Zhang, John Yen, C. Lee Giles, Bamshad Mobasher, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum: WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report. SIGKDD Explorations 9(2): 87-92 (2007)
61 Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang: Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. AAAI 2006
60EEShaolei Feng, R. Manmatha, Andrew McCallum: Exploring the Use of Conditional Random Field Models and HMMs for Historical Handwritten Document Recognition. DIAL 2006: 30-37
59EEAron Culotta, Andrew McCallum, Jonathan Betz: Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text. HLT-NAACL 2006
58EECharles A. Sutton, Michael Sindelar, Andrew McCallum: Reducing Weight Undertraining in Structured Discriminative Learning. HLT-NAACL 2006
57EEWei Li, Andrew McCallum: Pachinko allocation: DAG-structured mixture models of topic correlations. ICML 2006: 577-584
56EEB. Michael Kelm, Chris Pal, Andrew McCallum: Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) 2006: 828-832
55EEGideon S. Mann, David M. Mimno, Andrew McCallum: Bibliometric impact measures leveraging topic analysis. JCDL 2006: 65-74
54EEXuerui Wang, Andrew McCallum: Topics over time: a non-Markov continuous-time model of topical trends. KDD 2006: 424-433
53EEAndrew McCallum: Information extraction, data mining and joint inference. KDD 2006: 835
52EEAron Culotta, Trausti T. Kristjansson, Andrew McCallum, Paul A. Viola: Corrective feedback and persistent learning for information extraction. Artif. Intell. 170(14-15): 1101-1122 (2006)
51EEFuchun Peng, Andrew McCallum: Information extraction from research papers using conditional random fields. Inf. Process. Manage. 42(4): 963-979 (2006)
50EEXing Wei, W. Bruce Croft, Andrew McCallum: Table extraction for answer retrieval. Inf. Retr. 9(5): 589-611 (2006)
49 Aron Culotta, Andrew McCallum: Reducing Labeling Effort for Structured Prediction Tasks. AAAI 2005: 746-751
48 Wei Li, Andrew McCallum: Semi-Supervised Sequence Modeling with Syntactic Topic Models. AAAI 2005: 813-818
47EENadia Ghamrawi, Andrew McCallum: Collective multi-label classification. CIKM 2005: 195-200
46EEAron Culotta, Andrew McCallum: Joint deduplication of multiple record types in relational data. CIKM 2005: 257-258
45EECharles A. Sutton, Andrew McCallum: Composition of Conditional Random Fields for Transfer Learning. HLT/EMNLP 2005
44EERon Bekkerman, Ran El-Yaniv, Andrew McCallum: Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48
43EEAndrew McCallum, Andrés Corrada-Emmanuel, Xuerui Wang: Topic and Role Discovery in Social Networks. IJCAI 2005: 786-791
42EEYu Gu, Andrew McCallum, Donald F. Towsley: Detecting Anomalies in Network Traffic Using Maximum Entropy Estimation. Internet Measurment Conference 2005: 345-350
41EEXuerui Wang, Natasha Mohanty, Andrew McCallum: Group and Topic Discovery from Relations and Their Attributes. NIPS 2005
40EEAndrew McCallum, Kedar Bellare, Fernando C. N. Pereira: A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. UAI 2005: 388-395
39EECharles A. Sutton, Andrew McCallum: Piecewise Training for Undirected Models. UAI 2005: 568-575
38EERon Bekkerman, Andrew McCallum: Disambiguating Web appearances of people in a social network. WWW 2005: 463-470
37EEAndrew McCallum: Information extraction: distilling structured data from unstructured text. ACM Queue 3(9): 48-57 (2005)
36 Trausti T. Kristjansson, Aron Culotta, Paul A. Viola, Andrew McCallum: Interactive Information Extraction with Constrained Conditional Random Fields. AAAI 2004: 412-418
35EEAron Culotta, Ron Bekkerman, Andrew McCallum: Extracting social networks and contact information from email and the Web. CEAS 2004
34EEFuchun Peng, Andrew McCallum: Accurate Information Extraction from Research Papers using Conditional Random Fields. HLT-NAACL 2004: 329-336
33EECharles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum: Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004
32EEAndrew McCallum, Ben Wellner: Conditional Models of Identity Uncertainty with Application to Noun Coreference. NIPS 2004
31EEBen Wellner, Andrew McCallum, Fuchun Peng, Michael Hay: An Integrated, Conditional Model of Information Extraction and Coreference with Appli. UAI 2004: 593-601
30EEDavid Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft: Table Extraction Using Conditional Random Fields. DG.O 2003
29EEAndrew McCallum, Ben Wellner: Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference. IIWeb 2003: 79-84
28EERajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum: Classification with Hybrid Generative/Discriminative Models. NIPS 2003
27EEDavid Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft: Table extraction using conditional random fields. SIGIR 2003: 235-242
26 Andrew McCallum: Efficiently Inducing Features of Conditional Random Fields. UAI 2003: 403-410
25EEWei Li, Andrew McCallum: Rapid development of Hindi named entity recognition using conditional random fields and feature induction. ACM Trans. Asian Lang. Inf. Process. 2(3): 290-294 (2003)
24EEJames Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Richard M. Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai: Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum 37(1): 31-47 (2003)
23 David M. Blei, J. Andrew Bagnell, Andrew McCallum: Learning with Scope, with Application to Information Extraction and Classification. UAI 2002: 53-60
22 John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001: 282-289
21 Nicholas Roy, Andrew McCallum: Toward Optimal Active Learning through Sampling Estimation of Error Reduction. ICML 2001: 441-448
20 Dayne Freitag, Andrew McCallum: Information Extraction with HMM Structures Learned by Stochastic Optimization. AAAI/IAAI 2000: 584-589
19 Huan Chang, David Cohn, Andrew McCallum: Learning to Create Customized Authority Lists. ICML 2000: 127-134
18 Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira: Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML 2000: 591-598
17EEAndrew McCallum, Kamal Nigam, Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178
16EEMark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118(1-2): 69-113 (2000)
15EEWilliam W. Cohen, Andrew McCallum, Dallan Quass: Learning to Understand the Web. IEEE Data Eng. Bull. 23(3): 17-24 (2000)
14 Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: Automating the Construction of Internet Portals with Machine Learning. Inf. Retr. 3(2): 127-163 (2000)
13 Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39(2/3): 103-134 (2000)
12 Jason Rennie, Andrew McCallum: Using Reinforcement Learning to Spider the Web Efficiently. ICML 1999: 335-343
11 Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: A Machine Learning Approach to Building Domain-Specific Search Engines. IJCAI 1999: 662-667
10 Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998: 509-516
9 Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI 1998: 792-799
8 Andrew McCallum, Kamal Nigam: Employing EM and Pool-Based Active Learning for Text Classification. ICML 1998: 350-358
7 Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng: Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998: 359-367
6EEL. Douglas Baker, Andrew McCallum: Distributional Clustering of Words for Text Classification. SIGIR 1998: 96-103
5 Andrew McCallum: Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State. ICML 1995: 387-395
4EEAndrew McCallum: Instance-Based State Identification for Reinforcement Learning. NIPS 1994: 377-384
3 Andrew McCallum: Overcoming Incomplete Perception with Util Distinction Memory. ICML 1993: 190-196
2 Andrew McCallum: Using Transitional Proximity for Faster Reinforcement Learning. ML 1992: 316-321
1 Andrew McCallum, Kent A. Spackman: Using Genetic Algorithms to Learn Disjunctive Rules from Examples. ML 1990: 149-152

Coauthor Index

1James Allan [24]
2Jay Aslam [24]
3J. Andrew Bagnell [23]
4L. Douglas Baker [6]
5Ron Bekkerman [35] [38] [44]
6Nicholas J. Belkin [24]
7Kedar Bellare [40]
8Jonathan Betz [59]
9David M. Blei [23]
10Chris Buckley [24]
11James P. Callan (Jamie Callan) [24]
12Huan Chang [19]
13William W. Cohen [15] [85]
14David Cohn [19]
15Andrés Corrada-Emmanuel [43] [63]
16Mark Craven [10] [16]
17W. Bruce Croft [24] [27] [30] [50]
18Aron Culotta [35] [36] [46] [49] [52] [59] [67] [78]
19Dan DiPasquo [10] [16]
20AnHai Doan [82]
21Gregory Druck [61] [66] [81]
22Susan T. Dumais [24]
23Ran El-Yaniv [44]
24Shaolei Feng [60]
25Dayne Freitag [10] [16] [18] [20]
26Norbert Fuhr [24]
27Nadia Ghamrawi [47]
28C. Lee Giles (Clyde Lee Giles) [62] [86]
29Yu Gu [42]
30Robert Hall [67] [84]
31Donna Harman [24]
32David J. Harper [24]
33Michael Hay [31]
34Djoerd Hiemstra [24]
35Thomas Hofmann [24]
36Eduard H. Hovy [24]
37Gary B. Huang [75]
38Vidit Jain [76]
39Pallika Kanani [70] [79]
40B. Michael Kelm [56]
41Wessel Kraaij [24]
42Trausti T. Kristjansson [36] [52]
43John D. Lafferty [22] [24]
44Victor Lavrenko [24]
45Erik G. Learned-Miller [75] [76]
46David D. Lewis [24]
47Wei Li [25] [48] [57] [72]
48Elizabeth D. Liddy (Liz Liddy) [24]
49Raghavan Manmatha (R. Manmatha) [24] [60]
50Gideon S. Mann [55] [73] [77] [81]
51Matthew Marzilli [67]
52David M. Mimno [55] [65] [68] [69] [72] [80]
53Tom M. Mitchell [7] [9] [10] [13] [16]
54Bamshad Mobasher [62] [86]
55Natasha Mohanty [41]
56Olfa Nasraoui [62] [86]
57Andrew Y. Ng [7] [28]
58Kamal Nigam [8] [9] [10] [11] [13] [14] [16] [17]
59Chris Pal [56] [61] [64] [66] [70]
60Fuchun Peng [31] [34] [51]
61Fernando C. N. Pereira [18] [22] [40]
62David Pinto (David Pinto Avendaño, David Eduardo Pinto) [27] [30]
63Jay M. Ponte [24]
64John M. Prager [24]
65Dallan Quass [15]
66Dragomir R. Radev [24]
67Rajat Raina [28]
68Jason Rennie [11] [12] [14]
69Philip Resnik [24]
70Stephen E. Robertson (Stephen Robertson) [24]
71Khashayar Rohanimanesh [33] [82] [83]
72Ronald Rosenfeld (Roni Rosenfeld) [7] [24]
73Salim Roukos [24]
74Sam T. Roweis [85]
75Nicholas Roy [21]
76Mark Sanderson [24]
77Karl Schultz [83]
78Richard M. Schwartz [24]
79Kristie Seymore [11] [14]
80Yirong Shen [28]
81Michael Sindelar [58]
82Amit Singhal [24]
83Seán Slattery [10] [16]
84Alan F. Smeaton [24]
85Kent A. Spackman [1]
86Myra Spiliopoulou [62] [86]
87Jaideep Srivastava [62] [86]
88Charles A. Sutton [33] [39] [45] [58] [71] [84]
89Sebastian Thrun [9] [13]
90Donald F. Towsley [42]
91Howard R. Turtle [24]
92Lyle H. Ungar [17]
93Paul A. Viola [36] [52]
94Ellen M. Voorhees [24]
95Xuerui Wang [41] [43] [54] [61] [63] [64] [74]
96Xing Wei [27] [30] [50] [74]
97Ralph M. Weischedel [24]
98Ben Wellner [29] [31] [32]
99Michael L. Wick [67] [78] [82] [83]
100Jinxi Xu [24]
101John Yen [62] [86]
102ChengXiang Zhai (Chengxiang Zhai) [24]
103Haizheng Zhang [62] [86]
104Xiaojin Zhu [66]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)