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C. David Page Jr. Vis

David Page

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*2008
63EEYi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi: Sensor planning for automated and persistent object tracking with multiple cameras. CVPR 2008
62EEYi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi: Sensor planning for PTZ cameras using the probability of camera overload. ICPR 2008: 1-5
61EESean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman: Matching isotopic distributions from metabolically labeled samples. ISMB 2008: 339-347
60EEVítor Santos Costa, David Page, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. Probabilistic Inductive Logic Programming 2008: 156-188
59EEChung-Hao Chen, Yi Yao, David Page, Besma R. Abidi, Andreas Koschan, Mongi A. Abidi: Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking. IEEE Trans. Circuits Syst. Video Techn. 18(8): 1052-1063 (2008)
2007
58EEJesse Davis, Vítor Santos Costa, Soumya Ray, David Page: An integrated approach to feature invention and model construction for drug activity prediction. ICML 2007: 217-224
57EEJesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa: Change of Representation for Statistical Relational Learning. IJCAI 2007: 2719-2726
56EESean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman: Using dynamic programming to create isotopic distribution maps from mass spectra. ISMB/ECCB (Supplement of Bioinformatics) 2007: 328-336
2006
55EESreenivas R. Sukumar, David Page, Andrei V. Gribok, Andreas Koschan, Mongi A. Abidi: Shape Measure for Identifying Perceptually Informative Parts of 3D Objects. 3DPVT 2006: 679-686
54EEJan Struyf, Jesse Davis, C. David Page Jr.: An Efficient Approximation to Lookahead in Relational Learners. ECML 2006: 775-782
53EEIrene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa: Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming. ILP 2006: 366-378
52EEAline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan: ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP 2006: 379-393
51EEC. David Page Jr., Irene M. Ong: Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks. Pacific Symposium on Biocomputing 2006: 267-278
50EEFilip Zelezný, Ashwin Srinivasan, C. David Page Jr.: Randomised restarted search in ILP. Machine Learning 64(1-3): 183-208 (2006)
49EEAshwin Srinivasan, David Page, Rui Camacho, Ross D. King: Quantitative pharmacophore models with inductive logic programming. Machine Learning 64(1-3): 65-90 (2006)
2005
48EEIrene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa: Mode Directed Path Finding. ECML 2005: 673-681
47EEJesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa: An Integrated Approach to Learning Bayesian Networks of Rules. ECML 2005: 84-95
46EEHendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64
45EESoumya Ray, David Page: Generalized skewing for functions with continuous and nominal attributes. ICML 2005: 705-712
44EEBernard Rosell, Lisa Hellerstein, Soumya Ray, David Page: Why skewing works: learning difficult Boolean functions with greedy tree learners. ICML 2005: 728-735
43EEJesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik: View Learning for Statistical Relational Learning: With an Application to Mammography. IJCAI 2005: 677-683
42EEHéctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa: A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. ILP 2005: 69-86
2004
41EESoumya Ray, David Page: Sequential skewing: an improved skewing algorithm. ICML 2004
40EEFilip Zelezný, Ashwin Srinivasan, David Page: A Monte Carlo Study of Randomised Restarted Search in ILP. ILP 2004: 341-358
39 Michael Molla, Michael Waddell, David Page, Jude W. Shavlik: Using Machine Learning to Design and Interpret Gene-Expression Microarrays. AI Magazine 25(1): 23-44 (2004)
2003
38EEJames H. Graham, C. David Page Jr., Ahmed H. Kamal: Accelerating the Drug Design Process through Parallel Inductive Logic Programming Data Mining. CSB 2003: 400-402
37EEInês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik, Michael Waddell: Toward Automatic Management of Embarrassingly Parallel Applications. Euro-Par 2003: 509-516
36 David Page, Soumya Ray: Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. IJCAI 2003: 601-612
35EEC. David Page Jr.: The Role of Declarative Languages in Mining Biological Databases. PADL 2003: 1
34 Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. UAI 2003: 517-524
33 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)
32 Ahmed H. Kamal, James H. Graham, C. David Page Jr.: A Parallel Inductive Logic Programming Data Mining System for Drug Discovery. I. J. Comput. Appl. 10(3): 161-170 (2003)
31EEDavid Page, Ashwin Srinivasan: ILP: A Short Look Back and a Longer Look Forward. Journal of Machine Learning Research 4: 415-430 (2003)
30EEDavid Page, Mark Craven: Biological applications of multi-relational data mining. SIGKDD Explorations 5(1): 69-79 (2003)
2002
29EEFilip Zelezný, Ashwin Srinivasan, David Page: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 333-345
28EEInês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik: An Empirical Evaluation of Bagging in Inductive Logic Programming. ILP 2002: 48-65
27 Irene M. Ong, Jeremy D. Glasner, David Page: Modelling regulatory pathways in E. coli from time series expression profiles. ISMB 2002: 241-248
26EEJie Cheng, Christor Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese: KDD Cup 2001 Report. SIGKDD Explorations 3(2): 47-64 (2002)
2001
25 Soumya Ray, David Page: Multiple Instance Regression. ICML 2001: 425-432
24 Ahmed H. Kamal, James H. Graham, C. David Page Jr.: An Approach to Parallel Data Mining for Pharmacophore Discovery. ISCA Conference on Intelligent Systems 2001: 100-103
23 David Page, James H. Graham: Guest Editor's Introduction. I. J. Comput. Appl. 8(2): (2001)
2000
22EEDavid Page: ILP: Just Do It. Computational Logic 2000: 25-40
21 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
20EEDavid Page: ILP: Just Do It. ILP 2000: 3-18
19 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
1999
18 Stephen Muggleton, David Page: Guest Editors' Introduction: Inductive Logic Programming. J. Log. Program. 40(2-3): 125-126 (1999)
1998
17 David Page: Inductive Logic Programming, 8th International Workshop, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998, Proceedings Springer 1998
16EEChris Phillips, Steven Adams, David Page, Daniela Mehandjiska: The Design of the Client User Interface for a Meta Object-Oriented CASE Tool. TOOLS (28) 1998: 156-167
15 Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan: Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. Machine Learning 30(2-3): 241-270 (1998)
1997
14 Stephen Muggleton, David Page: Guest Editors' Introduction. Machine Learning 26(2-3): 97-98 (1997)
1996
13 Stephen Muggleton, David Page, Ashwin Srinivasan: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. Inductive Logic Programming Workshop 1996: 25-40
12 Daniela Mehandjiska-Stavreva, David Page, Mi Duk Choi: Meta-Modelling and Methodology Support in Object-Oriented CASE Tools. OOIS 1996: 370-
1995
11 Alan M. Frisch, C. David Page Jr.: Building Theories into Instantiation. IJCAI 1995: 1210-1216
10 Stephen Muggleton, David Page: A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees. Machine Intelligence 15 1995: 248-267
9 Daniela Mehandjiska-Stavreva, David Page, Jonanthan Ham: Template Generator for a Methodology Independent Object-Oriented Case Tool. OOIS 1995: 232-247
8 William W. Cohen, C. David Page Jr.: Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Comput. 13(3&4): 369-409 (1995)
1994
7 Daniela Mehandjiska-Stavreva, David Page, Paul K. Clark: Development of an Intelligent Object-Oriented CASE Tool. OOIS 1994: 215-226
6 David Page, Paul K. Clark, Daniela Mehandjiska-Stavreva: An Abstract Definition of Graphical Notations for Object-Oriented Information Systems. OOIS 1994: 266-276
5 Michael Frazier, C. David Page Jr.: Prefix Grammars: An Alternative Characterization of the Regular Languages. Inf. Process. Lett. 51(2): 67-71 (1994)
1993
4 Michael Frazier, C. David Page Jr.: Learnability in Inductive Logic Programrning: Some Basic Results and Techniques. AAAI 1993: 93-98
1991
3 C. David Page Jr., Alan M. Frisch: Generalizing Atoms in Constraint Logic. KR 1991: 429-440
2 C. David Page Jr., Alan M. Frisch: Learning Constrained Atoms. ML 1991: 427-431
1990
1 Alan M. Frisch, C. David Page Jr.: Generalization with Taxonomic Information. AAAI 1990: 755-761

Coauthor Index

1Besma R. Abidi [59] [62] [63]
2Mongi A. Abidi [55] [59] [62] [63]
3Steven Adams [16]
4Hendrik Blockeel [46]
5Joseph Bockhorst [19] [21] [33]
6Héctor Corrada Bravo [42]
7Elizabeth S. Burnside [43] [47] [57]
8Rui Camacho [49]
9Chung-Hao Chen [59] [62] [63]
10Jie Cheng [26]
11Mi Duk Choi [12]
12Paul K. Clark [6] [7]
13William W. Cohen [8]
14Vítor Santos Costa [28] [34] [37] [42] [43] [47] [48] [53] [57] [58] [60]
15Mark Craven [19] [21] [30] [33]
16James Cussens [34] [60]
17Jesse Davis [43] [47] [54] [57] [58]
18Inês de Castro Dutra [28] [37] [43] [47] [48]
19Paul W. Finn [15]
20Michael Frazier [4] [5]
21Alan M. Frisch [1] [2] [3] [11]
22Jeremy D. Glasner [19] [21] [27] [33]
23James H. Graham [23] [24] [32] [38]
24Andrei V. Gribok [55]
25Jonanthan Ham [9]
26Christor Hatzis [26]
27Hisashi Hayashi [26]
28Lisa Hellerstein [44]
29Edward L. Huttlin [56] [61]
30Ahmed H. Kamal [24] [32] [38]
31Ross D. King [49]
32Andreas Koschan [55] [59] [62] [63]
33Mark-A. Krogel [26]
34Sean McIlwain [56] [61]
35Daniela Mehandjiska [16]
36Daniela Mehandjiska-Stavreva [6] [7] [9] [12]
37Michael Molla [39]
38Shinichi Morishita [26]
39Stephen Muggleton [10] [13] [14] [15] [18]
40Irene M. Ong [27] [48] [51] [53] [57]
41Aline Paes [52]
42Chris Phillips [16]
43Maleeha Qazi [34]
44Raghu Ramakrishnan [42] [43]
45Soumya Ray [25] [36] [41] [44] [45] [58]
46Bernard Rosell [44]
47Jun Sese [26]
48Jude W. Shavlik [19] [21] [28] [33] [37] [39] [42] [43]
49Ashwin Srinivasan [13] [15] [29] [31] [40] [46] [49] [50] [52]
50Jan Struyf [54] [57]
51Sreenivas R. Sukumar [55]
52Michael R. Sussman [56] [61]
53Scott E. Topper [53]
54Michael Waddell [37] [39]
55Yi Yao [59] [62] [63]
56Gerson Zaverucha [52]
57Filip Zelezný [29] [40] [50] [52]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)