Mark Craven

2008
39		Ana L. C. Bazzan, Mark Craven, Natália F. Martins: Advances in Bioinformatics and Computational Biology, Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings Springer 2008
38	EE	Burr Settles, Mark Craven: An Analysis of Active Learning Strategies for Sequence Labeling Tasks. EMNLP 2008: 1070-1079
37	EE	Mark Craven: Learning Expressive Models of Gene Regulation. ILP 2008: 4
36	EE	Keith Noto, Mark Craven: Learning Hidden Markov Models for Regression using Path Aggregation. UAI 2008: 444-451
2007
35	EE	Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven: Connecting quantitative regulatory-network models to the genome. ISMB/ECCB (Supplement of Bioinformatics) 2007: 367-376
34	EE	Burr Settles, Mark Craven, Soumya Ray: Multiple-Instance Active Learning. NIPS 2007
33	EE	Keith Noto, Mark Craven: Learning probabilistic models of cis-regulatory modules that represent logical and spatial aspects. Bioinformatics 23(2): 156-162 (2007)
2006
32		Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 ACM 2006
31	EE	Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven: Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. TREC 2006
2005
30	EE	Soumya Ray, Mark Craven: Supervised versus multiple instance learning: an empirical comparison. ICML 2005: 697-704
2004
29	EE	Aaron E. Darling, Bob Mau, Mark Craven, Nicole T. Perna: Multiple Alignment of Rearranged Genomes. CSB 2004: 738-739
28	EE	Joseph Bockhorst, Mark Craven: Markov Networks for Detecting Overalpping Elements in Sequence Data. NIPS 2004
27	EE	Keith Noto, Mark Craven: Learning Regulatory Network Models that Represent Regulator States and Roles. Regulatory Genomics 2004: 52-64
2003
26	EE	Marios Skounakis, Mark Craven: Evidence combination in biomedical natural-language processing. BIOKDD 2003: 25-32
25		Marios Skounakis, Mark Craven, Soumya Ray: Hierarchical Hidden Markov Models for Information Extraction. IJCAI 2003: 427-433
24	EE	Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven: Predicting bacterial transcription units using sequence and expression data. ISMB (Supplement of Bioinformatics) 2003: 34-43
23		Joseph Bockhorst, Mark Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner: A Bayesian Network Approach to Operon Prediction. Bioinformatics 19(10): 1227-1235 (2003)
22	EE	David Page, Mark Craven: Biological applications of multi-relational data mining. SIGKDD Explorations 5(1): 69-79 (2003)
2002
21		Joseph Bockhorst, Mark Craven: Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. ICML 2002: 43-50
20	EE	Mark Craven: The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. SIGKDD Explorations 4(2): 97-98 (2002)
2001
19		Soumya Ray, Mark Craven: Representing Sentence Structure in Hidden Markov Models for Information Extraction. IJCAI 2001: 1273-1279
18		Joseph Bockhorst, Mark Craven: Refining the Structure of a Stochastic Context-Free Grammar. IJCAI 2001: 1315-1322
17		Mark Craven, Seán Slattery: Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. Machine Learning 43(1/2): 97-119 (2001)
2000
16		Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner: Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. ICML 2000: 199-206
15		Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner: A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB 2000: 116-127
14	EE	Mark 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)
1999
13		Mark Craven, Johan Kumlien: Constructing Biological Knowledge Bases by Extracting Information from Text Sources. ISMB 1999: 77-86
1998
12		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
11		Mark Craven, Seán Slattery, Kamal Nigam: First-Order Learning for Web Mining. ECML 1998: 250-255
10		Seán Slattery, Mark Craven: Combining Statistical and Relational Methods for Learning in Hypertext Domains. ILP 1998: 38-52
1997
9	EE	Mark Craven, Jude W. Shavlik: Understanding Time-Series Networks: A Case Study in Rule Extraction. Int. J. Neural Syst. 8(4): 373-384 (1997)
1995
8		Mark Craven, Richard J. Mural, Loren J. Hauser, Edward C. Uberbacher: Predicting Protein Folding Classes without Overly Relying on Homology. ISMB 1995: 98-106
7	EE	Mark Craven, Jude W. Shavlik: Extracting Tree-Structured Representations of Trained Networks. NIPS 1995: 24-30
6	EE	Jeffrey C. Jackson, Mark Craven: Learning Sparse Perceptrons. NIPS 1995: 654-660
1994
5		Mark Craven, Jude W. Shavlik: Using Sampling and Queries to Extract Rules from Trained Neural Networks. ICML 1994: 37-45
4	EE	Mark Craven, Jude W. Shavlik: Machine Learning Approaches to Gene Recognition. IEEE Expert 9(2): 2-10 (1994)
1993
3		Mark Craven, Jude W. Shavlik: Learning Symbolic Rules Using Artificial Neural Networks. ICML 1993: 73-80
2		Mark Craven, Jude W. Shavlik: Learning to Represent Codons: A Challenge Problem for Constructive Induction. IJCAI 1993: 1319-1324
1991
1		Geoffrey G. Towell, Mark Craven, Jude W. Shavlik: Constructive Induction in Knowledge-Based Neural Networks. ML 1991: 213-217

Coauthor Index

1	David Andrzejewski	[31]
2	Ana L. C. Bazzan	[39]
3	Frederick R. Blattner	[24]
4	Joseph Bockhorst	[15] [16] [18] [21] [23] [24] [28] [35]
5	Aaron E. Darling	[29]
6	Dan DiPasquo	[12] [14]
7	Tim Durfee	[35]
8	Tina Eliassi-Rad	[32]
9	Dayne Freitag	[12] [14]
10	Jurgen Van Gael	[31]
11	Jeremy D. Glasner	[15] [16] [23] [24]
12	Andrew B. Goldberg	[31]
13	Dimitrios Gunopulos	[32]
14	Loren J. Hauser	[8]
15	Jeffrey C. Jackson	[6]
16	Johan Kumlien	[13]
17	Mingzhu Liu	[24]
18	Natália F. Martins	[39]
19	Bob Mau	[29]
20	Andrew McCallum	[12] [14]
21	Tom M. Mitchell	[12] [14]
22	Richard J. Mural	[8]
23	Kamal Nigam	[11] [12] [14]
24	Keith Noto	[27] [33] [36]
25	C. David Page Jr. (David Page)	[15] [16] [22] [23]
26	Yue Pan	[35]
27	Nicole T. Perna	[29]
28	Yu Qiu	[24]
29	Soumya Ray	[19] [25] [30] [34]
30	Burr Settles	[31] [34] [38]
31	Jude W. Shavlik	[1] [2] [3] [4] [5] [7] [9] [15] [16] [23]
32	Marios Skounakis	[25] [26]
33	Seán Slattery	[10] [11] [12] [14] [17]
34	Geoffrey G. Towell	[1]
35	Edward C. Uberbacher	[8]
36	Lyle H. Ungar	[32]
37	Xiaojin Zhu	[31]

Colors in the list of coauthors