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DBLP keys2007
101Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Daniel Billsus: Content-Based Recommendation Systems. The Adaptive Web 2007: 325-341
100Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Michael J. Pazzani: Adaptive News Access. The Adaptive Web 2007: 550-570
2006
99Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSeth Hettich, Michael J. Pazzani: Mining for proposal reviewers: lessons learned at the national science foundation. KDD 2006: 862-871
2005
98Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSerge Abiteboul, Rakesh Agrawal, Philip A. Bernstein, Michael J. Carey, Stefano Ceri, W. Bruce Croft, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Dieter Gawlick, Jim Gray, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Martin L. Kersten, Michael J. Pazzani, Michael Lesk, David Maier, Jeffrey F. Naughton, Hans-Jörg Schek, Timos K. Sellis, Avi Silberschatz, Michael Stonebraker, Richard T. Snodgrass, Jeffrey D. Ullman, Gerhard Weikum, Jennifer Widom, Stanley B. Zdonik: The Lowell database research self-assessment. Commun. ACM 48(5): 111-118 (2005)
2004
97Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Machine Learning for Personalized Wireless Portals. ICTAI 2004: 3
2003
96Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Adaptive Interfaces for Ubiquitous Web Access. User Modeling 2003: 1
95Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSerge Abiteboul, Rakesh Agrawal, Philip A. Bernstein, Michael J. Carey, Stefano Ceri, W. Bruce Croft, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Dieter Gawlick, Jim Gray, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Martin L. Kersten, Michael J. Pazzani, Michael Lesk, David Maier, Jeffrey F. Naughton, Hans-Jörg Schek, Timos K. Sellis, Avi Silberschatz, Michael Stonebraker, Richard T. Snodgrass, Jeffrey D. Ullman, Gerhard Weikum, Jennifer Widom, Stanley B. Zdonik: The Lowell Database Research Self Assessment CoRR cs.DB/0310006: (2003)
2002
94Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Commercial Applications of Machine Learning for Personalized Wireless Portals. PRICAI 2002: 1-5
93Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSelina Chu, Eamonn J. Keogh, David Hart, Michael J. Pazzani: Iterative Deepening Dynamic Time Warping for Time Series. SDM 2002
92Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKaushik Chakrabarti, Eamonn J. Keogh, Sharad Mehrotra, Michael J. Pazzani: Locally adaptive dimensionality reduction for indexing large time series databases. ACM Trans. Database Syst. 27(2): 188-228 (2002)
91no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Daniel Billsus: Adaptive Web Site Agents. Autonomous Agents and Multi-Agent Systems 5(2): 205-218 (2002)
90Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Clifford Brunk, Craig Evans, Brian Gladish, Michael J. Pazzani: Adaptive interfaces for ubiquitous web access. Commun. ACM 45(5): 34-38 (2002)
89Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: Learning the Structure of Augmented Bayesian Classifiers. International Journal on Artificial Intelligence Tools 11(4): 587-601 (2002)
2001
88Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Selina Chu, David Hart, Michael J. Pazzani: An Online Algorithm for Segmenting Time Series. ICDM 2001: 289-296
87Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Selina Chu, Michael J. Pazzani: Ensemble-index: a new approach to indexing large databases. KDD 2001: 117-125
86Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Michael J. Pazzani: Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases. SIGMOD Conference 2001: 151-162
85Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGeorge Buchanan, Sarah Farrant, Matt Jones, Harold W. Thimbleby, Gary Marsden, Michael J. Pazzani: Improving mobile internet usability. WWW 2001: 673-680
84no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephen D. Bay, Michael J. Pazzani: Detecting Group Differences: Mining Contrast Sets. Data Min. Knowl. Discov. 5(3): 213-246 (2001)
83Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Kaushik Chakrabarti, Michael J. Pazzani, Sharad Mehrotra: Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases. Knowl. Inf. Syst. 3(3): 263-286 (2001)
82Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGeoffrey I. Webb, Michael J. Pazzani, Daniel Billsus: Machine Learning for User Modeling. User Model. User-Adapt. Interact. 11(1-2): 19-29 (2001)
2000
81no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephen D. Bay, Michael J. Pazzani: Characterizing Model Erros and Differences. ICML 2000: 49-56
80Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Representation of electronic mail filtering profiles: a user study. IUI 2000: 202-206
79Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Michael J. Pazzani, James Chen: A learning agent for wireless news access. IUI 2000: 33-36
78Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: Scaling up dynamic time warping for datamining applications. KDD 2000: 285-289
77no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases. PAKDD 2000: 122-133
76no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKoji Miyahara, Michael J. Pazzani: Collaborative Filtering with the Simple Bayesian Classifier. PRICAI 2000: 679-689
75Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Knowledge discovery from data? IEEE Intelligent Systems 15(2): 10-13 (2000)
74no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Learning with Globally Predictive Tests. New Generation Comput. 18(1): 28-38 (2000)
73Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth: The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. SIGKDD Explorations 2(2): 81-85 (2000)
72Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Michael J. Pazzani: User Modeling for Adaptive News Access. User Model. User-Adapt. Interact. 10(2-3): 147-180 (2000)
1999
71Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSubramani Mani, Malcolm B. Dick, Michael J. Pazzani, Evelyn L. Teng, Daniel Kempler, I. Maribell Taussig: Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning. AIMDM 1999: 326-335
70Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Michael J. Pazzani: A Personal News Agent That Talks, Learns and Explains. Agents 1999: 268-275
69Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Daniel Billsus: Adaptive Web Site Agents. Agents 1999: 394-395
68Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephen D. Bay, Michael J. Pazzani: Detecting Change in Categorical Data: Mining Contrast Sets. KDD 1999: 302-306
67no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: Scaling up Dynamic Time Warping to Massive Dataset. PKDD 1999: 1-11
66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: Relevance Feedback Retrieval of Time Series Data. SIGIR 1999: 183-190
65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: An Indexing Scheme for Fast Similarity Search in Large Time Series Databases. SSDBM 1999: 56-67
64no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRichard H. Lathrop, Nicholas R. Steffen, Miriam P. Raphael, Sophia Deeds-Rubin, Michael J. Pazzani, Paul J. Cimoch, Darryl M. See, Jeremiah G. Tilles: Knowledge-Based Avoidance of Drug-Resistant HIV Mutants. AI Magazine 20(1): 13-25 (1999)
63no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: A Framework for Collaborative, Content-Based and Demographic Filtering. Artif. Intell. Rev. 13(5-6): 393-408 (1999)
62no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSubramani Mani, William Rodman Shankle, Malcolm B. Dick, Michael J. Pazzani: Two-Stage Machine Learning model for guideline development. Artificial Intelligence in Medicine 16(1): 51-71 (1999)
61no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRichard H. Lathrop, Michael J. Pazzani: Combinatorial Optimization in Rapidly Mutating Drug-Resistant Viruses. J. Comb. Optim. 3(2-3): 301-320 (1999)
60no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher J. Merz, Michael J. Pazzani: A Principal Components Approach to Combining Regression Estimates. Machine Learning 36(1-2): 9-32 (1999)
59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan Soboroff, Charles K. Nicholas, Michael J. Pazzani: Workshop on Recommender Systems: Algorithms and Evaluation. SIGIR Forum 33(1): 36-43 (1999)
1998
58no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRichard H. Lathrop, Nicholas R. Steffen, Miriam P. Raphael, Sophia Deeds-Rubin, Michael J. Pazzani, Paul J. Cimoch, Darryl M. See, Jeremiah G. Tilles: Knowledge-Based Avoidance of Drug-Resistant HIV Mutants. AAAI/IAAI 1998: 1071-1078
57Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGeoffrey I. Webb, Michael J. Pazzani: Adjusted Probability Naive Bayesian Induction. Australian Joint Conference on Artificial Intelligence 1998: 285-295
56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Learning with Globally Predictive Tests. Discovery Science 1998: 220-231
55no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Billsus, Michael J. Pazzani: Learning Collaborative Information Filters. ICML 1998: 46-54
54no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEamonn J. Keogh, Michael J. Pazzani: An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback. KDD 1998: 239-243
1997
53no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSubramani Mani, Michael J. Pazzani, John West: Knowledge Discovery from a Breast Cancer Database. AIME 1997: 130-133
52no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWilliam Rodman Shankle, Subramani Mani, Michael J. Pazzani, Padhraic Smyth: Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods. AIME 1997: 73-85
51no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Subramani Mani, William Rodman Shankle: Beyond Concise and Colorful: Learning Intelligible Rules. KDD 1997: 235-238
50no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMark S. Ackerman, Brian Starr, Michael J. Pazzani: The Do-I-Care Agent: Effective Social Discovery and Filtering on the Web. RIAO 1997: 17-32
49no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMark S. Ackerman, Daniel Billsus, Scott Gaffney, Seth Hettich, Gordon Khoo, Dong Joon Kim, Raymond Klefstad, Charles Lowe, Alexius Ludeman, Jack Muramatsu, Kazuo Omori, Michael J. Pazzani, Douglas Semler, Brian Starr, Paul Yap: Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities. AI Magazine 18(2): 47-56 (1997)
48no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Daniel Billsus: Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning 27(3): 313-331 (1997)
47no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPedro Domingos, Michael J. Pazzani: On the Optimality of the Simple Bayesian Classifier under Zero-One Loss. Machine Learning 29(2-3): 103-130 (1997)
1996
46no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Jack Muramatsu, Daniel Billsus: Syskill & Webert: Identifying Interesting Web Sites. AAAI/IAAI, Vol. 1 1996: 54-61
45no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPedro Domingos, Michael J. Pazzani: Simple Bayesian Classifiers Do Not Assume Independence. AAAI/IAAI, Vol. 2 1996: 1386
44no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPedro Domingos, Michael J. Pazzani: Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. ICML 1996: 105-112
43Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher J. Merz, Michael J. Pazzani: Combining Neural Network Regression Estimates with Regularized Linear Weights. NIPS 1996: 564-570
42Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher J. Merz, Michael J. Pazzani, Andrea Pohoreckyj Danyluk: Tuning Numeric Parameters to Troubleshoot a Telephone-Network Loop. IEEE Expert 11(1): 44-49 (1996)
41no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Review of ``Inductive Logic Programming: Techniques and Applications'' by Nada Lavrac, Saso Dzeroski. Machine Learning 23(1): 103-108 (1996)
40no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKamal M. Ali, Michael J. Pazzani: Error Reduction through Learning Multiple Descriptions. Machine Learning 24(3): 173-202 (1996)
1995
39no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTakefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz: Learning Hierarchies from Ambiguous Natural Language Data. ICML 1995: 575-583
38no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLClifford Brunk, Michael J. Pazzani: A Lexical Based Semantic Bias for Theory Revision. ICML 1995: 81-89
37no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers. KDD 1995: 228-233
36no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTakefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz: Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique. Learning for Natural Language Processing 1995: 329-342
1994
35no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrick M. Murphy, Michael J. Pazzani: Revision of Production System Rule-Bases. ICML 1994: 199-207
34no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Christopher J. Merz, Patrick M. Murphy, Kamal Ali, Timothy Hume, Clifford Brunk: Reducing Misclassification Costs. ICML 1994: 217-225
33no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKamal Ali, Clifford Brunk, Michael J. Pazzani: On Learning Multiple Descriptions of a Concept. ICTAI 1994: 476-483
32no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher J. Merz, Michael J. Pazzani: Parameter Tuning for the MAX Expert System. ICTAI 1994: 632-639
31no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiovanni Semeraro, Floriana Esposito, Donato Malerba, Clifford Brunk, Michael J. Pazzani: Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. LOPSTR 1994: 183-198
30no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrick M. Murphy, Michael J. Pazzani: Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction. J. Artif. Intell. Res. (JAIR) 1: 257-275 (1994)
29no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Guest Editor's Introduction. Machine Learning 16(1-2): 7-9 (1994)
1993
28no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Clifford Brunk: Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning. AAAI 1993: 328-334
27no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKamal M. Ali, Michael J. Pazzani: HYDRA: A Noise-tolerant Relational Concept Learning Algorithm. IJCAI 1993: 1064-1071
26no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJames Wogulis, Michael J. Pazzani: A Methodology for Evaluating Theory Revision Systems: Results with Audrey II. IJCAI 1993: 1128-1134
25no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: A Reply to Cohen's Book Review of Creating a Memory of Causal Relationships. Machine Learning 10: 185-190 (1993)
24no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning. Machine Learning 11: 173-194 (1993)
1992
23no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel S. Hirschberg, Michael J. Pazzani: Average Case Analysis of Learning kappa-CNF Concepts. ML 1992: 206-211
22no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Wendy Sarrett: A Framework for Average Case Analysis of Conjunctive Learning Algorithms. Machine Learning 9: 349-372 (1992)
21no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Dennis F. Kibler: The Utility of Knowledge in Inductive Learning. Machine Learning 9: 57-94 (1992)
1991
20no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrick M. Murphy, Michael J. Pazzani: Constructive Induction of M-of-N Terms. ML 1991: 183-187
19no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGlenn Silverstein, Michael J. Pazzani: Relational Clichés: Constraining Induction During Relational Learning. ML 1991: 203-207
18no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLClifford Brunk, Michael J. Pazzani: An Investigation of Noise-Tolerant Relational Concept Learning Algorithms. ML 1991: 389-393
17no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Clifford Brunk, Glenn Silverstein: A Knowledge-intensive Approach to Learning Relational Concepts. ML 1991: 432-436
16no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: A Computational Theory of Learning Causal Relationships. Cognitive Science 15(3): 401-424 (1991)
1990
15no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Wendy Sarrett: Average Case Analysis of Conjunctive Learning Algorithms. ML 1990: 339-347
1989
14no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Detecting and Correcting Errors of Omission After Explanation-Based Learning. IJCAI 1989: 713-718
13no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWendy Sarrett, Michael J. Pazzani: One-Sided Algorithms for Integrating Empirical and Explanation-Based Learning. ML 1989: 26-28
12no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Explanation-Based Learning with Week Domain Theories. ML 1989: 72-74
1988
11no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Integrating Explanation-Based and Empirical Learning Methods in OCCAM. EWSL 1988: 147-165
10no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Integrated Learning with Incorrect and Incomplete Theories. ML 1988: 291-297
1987
9no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Michael G. Dyer: A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule. IJCAI 1987: 147-150
8no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Michael G. Dyer, Margot Flowers: Using Prior Learning to Facilitate the Learning of New Causal Theories. IJCAI 1987: 277-279
7no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Creating High Level Knowledge Structures from Simple Elements. Knowledge Representation and Organization in Machine Learning 1987: 258-288
6no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Explanation-Based Learning for Knowledge-Based Systems. International Journal of Man-Machine Studies 26(4): 413-433 (1987)
1986
5no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Refining the Knowledge Base of a Diagnostic Expert System: An Application of Failure-Driven Learning. AAAI 1986: 1029-1035
4no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Michael G. Dyer, Margot Flowers: The Role of Prior Causal Theories in Generalization. AAAI 1986: 545-550
1984
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Conceptual Analysis of Garden-Path Sentences. COLING 1984: 486-490
1983
2no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani: Interactive Script Instantiation. AAAI 1983: 320-326
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Pazzani, Carl Engelman: Knowledge Based Question Answering. ANLP 1983: 73-80

Coauthor Index

1Serge Abiteboul [95] [98]
2Mark S. Ackerman [49] [50]
3Rakesh Agrawal [95] [98]
4Kamal Ali [33] [34]
5Kamal M. Ali [27] [40]
6Stephen D. Bay [68] [73] [81] [84]
7Philip A. Bernstein [95] [98]
8Daniel Billsus [46] [48] [49] [55] [69] [70] [72] [79] [82] [90] [91] [100] [101]
9Clifford Brunk [17] [18] [28] [31] [33] [34] [38] [90]
10George Buchanan [85]
11Michael J. Carey [95] [98]
12Stefano Ceri [95] [98]
13Kaushik Chakrabarti [83] [86] [92]
14James Chen [79]
15Selina Chu [87] [88] [93]
16Paul J. Cimoch [58] [64]
17W. Bruce Croft [95] [98]
18Andrea Pohoreckyj Danyluk [42]
19David J. DeWitt [95] [98]
20Sophia Deeds-Rubin [58] [64]
21Malcolm B. Dick [62] [71]
22Pedro Domingos [44] [45] [47]
23Michael G. Dyer [4] [8] [9]
24Carl Engelman [1]
25Floriana Esposito [31]
26Craig Evans [90]
27Sarah Farrant [85]
28Margot Flowers [4] [8]
29Michael J. Franklin (Mike Franklin) [95] [98]
30Scott Gaffney [49]
31Hector Garcia-Molina [95] [98]
32Dieter Gawlick [95] [98]
33Brian Gladish [90]
34Jim Gray [95] [98]
35Laura M. Haas [95] [98]
36Alon Y. Halevy (Alon Y. Levy) [95] [98]
37David Hart [88] [93]
38Joseph M. Hellerstein [95] [98]
39Seth Hettich [49] [99]
40Daniel S. Hirschberg [23]
41Timothy Hume [34]
42Yannis E. Ioannidis [95] [98]
43Matt Jones [85]
44Daniel Kempler [71]
45Eamonn J. Keogh [54] [65] [66] [67] [77] [78] [83] [86] [87] [88] [89] [92] [93]
46Martin L. Kersten [95] [98]
47Gordon Khoo [49]
48Dennis F. Kibler [21] [73]
49Dong Joon Kim [49]
50Raymond Klefstad [49]
51Richard H. Lathrop [58] [61] [64]
52Michael E. Lesk (Michael Lesk) [95] [98]
53Charles Lowe [49]
54Alexius Ludeman [49]
55David Maier [95] [98]
56Donato Malerba [31]
57Subramani Mani [51] [52] [53] [62] [71]
58Gary Marsden [85]
59Sharad Mehrotra [83] [86] [92]
60Christopher J. Merz [32] [34] [36] [39] [42] [43] [60]
61Koji Miyahara [76]
62Jack Muramatsu [46] [49]
63Patrick M. Murphy [20] [30] [34] [35]
64Jeffrey F. Naughton [95] [98]
65Charles K. Nicholas [59]
66Kazuo Omori [49]
67Miriam P. Raphael [58] [64]
68Wendy Sarrett [13] [15] [22]
69Hans-Jörg Schek [95] [98]
70Darryl M. See [58] [64]
71Timos K. Sellis [95] [98]
72Giovanni Semeraro [31]
73Douglas Semler [49]
74William Rodman Shankle [51] [52] [62]
75Abraham Silberschatz (Avi Silberschatz) [95] [98]
76Glenn Silverstein [17] [19]
77Padhraic Smyth [52] [73]
78Richard T. Snodgrass [95] [98]
79Ian Soboroff [59]
80Brian Starr [49] [50]
81Nicholas R. Steffen [58] [64]
82Michael Stonebraker [95] [98]
83I. Maribell Taussig [71]
84Evelyn L. Teng [71]
85Harold W. Thimbleby [85]
86Jeremiah G. Tilles [58] [64]
87Jeffrey D. Ullman [95] [98]
88Geoffrey I. Webb [57] [82]
89Gerhard Weikum [95] [98]
90John West [53]
91Jennifer Widom [95] [98]
92James Wogulis [26]
93Takefumi Yamazaki [36] [39]
94Paul Yap [49]
95Stanley B. Zdonik [95] [98]

Colors in the list of coauthors

Copyright © Fri Mar 12 12:56:28 2010 by Michael Ley (ley@uni-trier.de)