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David Haussler

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2008
116EEDavid Haussler: Computing how we became human. STOC 2008: 639-640
115EEMario Stanke, Mark Diekhans, Robert Baertsch, David Haussler: Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics 24(5): 637-644 (2008)
114EEJian Ma, Aakrosh Ratan, Brian J. Raney, Bernard B. Suh, Louxin Zhang, Webb Miller, David Haussler: DUPCAR: Reconstructing Contiguous Ancestral Regions with Duplications. Journal of Computational Biology 15(8): 1007-1027 (2008)
113EEDonna Karolchik, Robert M. Kuhn, Robert Baertsch, Galt P. Barber, Hiram Clawson, Mark Diekhans, Belinda Giardine, Rachel A. Harte, Angela S. Hinrichs, Fan Hsu, K. M. Kober, Webb Miller, J. S. Pedersen, Andy Pohl, Brian J. Raney, Brooke L. Rhead, Kate R. Rosenbloom, Kayla E. Smith, Mario Stanke, Archana Thakkapallayil, Heather Trumbower, T. Wang, Ann S. Zweig, David Haussler, W. James Kent: The UCSC Genome Browser Database: 2008 update. Nucleic Acids Research 36(Database-Issue): 773-779 (2008)
2007
112EEJian Ma, Aakrosh Ratan, Louxin Zhang, Webb Miller, David Haussler: A Heuristic Algorithm for Reconstructing Ancestral Gene Orders with Duplications. RECOMB-CG 2007: 122-135
111EEDaryl J. Thomas, Kate R. Rosenbloom, Hiram Clawson, Angie S. Hinrichs, Heather Trumbower, Brian J. Raney, Donna Karolchik, Galt P. Barber, Rachel A. Harte, Jennifer Hillman-Jackson, Robert M. Kuhn, Brooke L. Rhead, Kayla E. Smith, Archana Thakkapallayil, Ann S. Zweig, David Haussler, W. James Kent: The ENCODE Project at UC Santa Cruz. Nucleic Acids Research 35(Database-Issue): 663-667 (2007)
110EERobert M. Kuhn, Donna Karolchik, Ann S. Zweig, Heather Trumbower, Daryl J. Thomas, Archana Thakkapallayil, Charles W. Sugnet, Mario Stanke, Kayla E. Smith, Adam C. Siepel, Kate R. Rosenbloom, Brooke L. Rhead, Brian J. Raney, Andy Pohl, J. S. Pedersen, Fan Hsu, Angela S. Hinrichs, Rachel A. Harte, Mark Diekhans, Hiram Clawson, Gill Bejerano, Galt P. Barber, Robert Baertsch, David Haussler, W. James Kent: The UCSC genome browser database: update 2007. Nucleic Acids Research 35(Database-Issue): 668-673 (2007)
109EEDaryl J. Thomas, Heather Trumbower, Andrew D. Kern, Brooke L. Rhead, Robert M. Kuhn, David Haussler, W. James Kent: Variation resources at UC Santa Cruz. Nucleic Acids Research 35(Database-Issue): 716-720 (2007)
2006
108EEAdam C. Siepel, Katherine S. Pollard, David Haussler: New Methods for Detecting Lineage-Specific Selection. RECOMB 2006: 190-205
107EEDavid Haussler: Ultraconserved Elements, Living Fossil Transposons, and Rapid Bursts of Change: Reconstructing the Uneven Evolutionary History of the Human Genome. RECOMB 2006: 336-337
106EEJeremy Darot, Chen-Hsiang Yeang, David Haussler: Detecting the Dependent Evolution of Biosequences. RECOMB 2006: 595-609
105EEFan Hsu, W. James Kent, Hiram Clawson, Robert M. Kuhn, Mark Diekhans, David Haussler: The UCSC Known Genes. Bioinformatics 22(9): 1036-1046 (2006)
104EEJing Wu, David Haussler: Coding Exon Detection Using Comparative Sequences. Journal of Computational Biology 13(6): 1148-1164 (2006)
103EEAngela S. Hinrichs, Donna Karolchik, Robert Baertsch, Galt P. Barber, Gill Bejerano, Hiram Clawson, Mark Diekhans, Terrence S. Furey, Rachel A. Harte, Fan Hsu, Jennifer Hillman-Jackson, Robert M. Kuhn, J. S. Pedersen, Andy Pohl, Brian J. Raney, Kate R. Rosenbloom, Adam C. Siepel, Kayla E. Smith, Charles W. Sugnet, A. Sultan-Qurraie, Daryl J. Thomas, Heather Trumbower, R. J. Weber, M. Weirauch, Ann S. Zweig, David Haussler, W. James Kent: The UCSC Genome Browser Database: update 2006. Nucleic Acids Research 34(Database-Issue): 590-598 (2006)
2005
102EERachel Karchin, Mark Diekhans, Libusha Kelly, Daryl J. Thomas, Ursula Pieper, Narayanan Eswar, David Haussler, Andrej Sali: LS-SNP: large-scale annotation of coding non-synonymous SNPs based on multiple information sources. Bioinformatics 21(12): 2814-2820 (2005)
101EEFan Hsu, Tom H. Pringle, Robert M. Kuhn, Donna Karolchik, Mark Diekhans, David Haussler, W. James Kent: The UCSC Proteome Browser. Nucleic Acids Research 33(Database-Issue): 454-458 (2005)
2004
100EEVladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman: Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168
99EEGill Bejerano, David Haussler, Mathieu Blanchette: Into the heart of darkness: large-scale clustering of human non-coding DNA. ISMB/ECCB (Supplement of Bioinformatics) 2004: 40-48
98EECharles W. Sugnet, W. James Kent, Manual Ares, David Haussler: Transcriptome and Genome Conservation of Alternative Splicing Events in Humans and Mice. Pacific Symposium on Biocomputing 2004: 66-77
97EEAdam C. Siepel, David Haussler: Computational identification of evolutionarily conserved exons. RECOMB 2004: 177-186
96EEKrishna M. Roskin, Mark Diekhans, David Haussler: Score Functions for Determining Regional Conservation in Two-Species Local Alignments. Journal of Computational Biology 11(2/3): 395-411 (2004)
95EEAdam C. Siepel, David Haussler: Combining Phylogenetic and Hidden Markov Models in Biosequence Analysis. Journal of Computational Biology 11(2/3): 413-428 (2004)
94 Donna Karolchik, Angela S. Hinrichs, Terrence S. Furey, Krishna M. Roskin, Charles W. Sugnet, David Haussler, W. James Kent: The UCSC Table Browser data retrieval tool. Nucleic Acids Research 32(Database-Issue): 493-496 (2004)
2003
93EEHui Wang, Earl Hubbell, Jing-Shan Hu, Gangwu Mei, Melissa S. Cline, Gang Lu, Tyson Clark, Michael A. Siani-Rose, Manuel Ares, David Kulp, David Haussler: Gene structure-based splice variant deconvolution using a microarry platform. ISMB (Supplement of Bioinformatics) 2003: 315-322
92EEDavid Haussler: Computational analysis of the human and other mammalian genomes. RECOMB 2003: 138-138
91EEKrishna M. Roskin, Mark Diekhans, David Haussler: Scoring two-species local alignments to try to statistically separate neutrally evolving from selected DNA segments. RECOMB 2003: 257-266
90EEAdam C. Siepel, David Haussler: Combining phylogenetic and hidden Markov models in biosequence analysis. RECOMB 2003: 277-286
89 Donna Karolchik, Robert Baertsch, Mark Diekhans, Terrence S. Furey, Angela S. Hinrichs, Y. T. Lu, Krishna M. Roskin, M. Schwartz, Charles W. Sugnet, Daryl J. Thomas, R. J. Weber, David Haussler, W. James Kent: The UCSC Genome Browser Database. Nucleic Acids Research 31(1): 51-54 (2003)
2002
88 Rachel Karchin, Kevin Karplus, David Haussler: Classifying G-protein coupled receptors with support vector machines. Bioinformatics 18(1): 147-159 (2002)
2001
87EEPaul Pavlidis, Terrence S. Furey, M. Liberto, David Haussler, William Noble Grundy: Promoter Region-Based Classification of Genes. Pacific Symposium on Biocomputing 2001: 151-164
2000
86 Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10): 906-914 (2000)
85 Tommi Jaakkola, Mark Diekhans, David Haussler: A Discriminative Framework for Detecting Remote Protein Homologies. Journal of Computational Biology 7(1-2): 95-114 (2000)
1999
84 Tommi Jaakkola, Mark Diekhans, David Haussler: Using the Fisher Kernel Method to Detect Remote Protein Homologies. ISMB 1999: 149-158
83EEBetty Lazareva-Ulitsky, David Haussler: A Probabilistic Approach to a Consensus Multiple Alignment. Pacific Symposium on Biocomputing 1999: 150-161
1998
82EETommi Jaakkola, David Haussler: Exploiting Generative Models in Discriminative Classifiers. NIPS 1998: 487-493
81EENicolò Cesa-Bianchi, David Haussler: A Graph-theoretic Generalization of the Sauer-Shelah Lemma. Discrete Applied Mathematics 86(1): 27-35 (1998)
80 David Haussler, Jyrki Kivinen, Manfred K. Warmuth: Sequential Prediction of Individual Sequences Under General Loss Functions. IEEE Transactions on Information Theory 44(5): 1906-1925 (1998)
1997
79EEDavid Haussler: A Brief Look at Some Machine Learning Problems in Genomics. COLT 1997: 109-113
78EEMartin G. Reese, Frank H. Eeckman, David Kulp, David Haussler: Improved splice site detection in Genie. RECOMB 1997: 232-240
77 David Haussler, Manfred Opper: Metric Entropy and Minimax Risk in Classification. Structures in Logic and Computer Science 1997: 212-235
76 David Haussler: A general minimax result for relative entropy. IEEE Transactions on Information Theory 43(4): 1276-1280 (1997)
75EENicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. J. ACM 44(3): 427-485 (1997)
74EENoga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM 44(4): 615-631 (1997)
73 Martin G. Reese, Frank H. Eeckman, David Kulp, David Haussler: Improved Splice Site Detection in Genie. Journal of Computational Biology 4(3): 311-324 (1997)
1996
72 David Kulp, David Haussler, Martin G. Reese, Frank H. Eeckman: A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA. ISMB 1996: 134-142
71 Usama M. Fayyad, David Haussler, Paul E. Stolorz: KDD for Science Data Analysis: Issues and Examples. KDD 1996: 50-56
70EEUsama M. Fayyad, David Haussler, Paul E. Stolorz: Mining Scientific Data. Commun. ACM 39(11): 51-57 (1996)
69 Kimmen Sjölander, Kevin Karplus, Michael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, David Haussler: Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology. Computer Applications in the Biosciences 12(4): 327-345 (1996)
68 David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. Machine Learning 25(2-3): 195-236 (1996)
1995
67EEDavid Haussler, Manfred Opper: General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations. COLT 1995: 402-411
66 David Haussler, Jyrki Kivinen, Manfred K. Warmuth: Tight worst-case loss bounds for predicting with expert advice. EuroCOLT 1995: 69-83
65EEEmanuel Knill, Andrzej Ehrenfeucht, David Haussler: The size of k-pseudotrees. Discrete Mathematics 141(1-3): 185-194 (1995)
64 David Haussler: Sphere Packing Numbers for Subsets of the Boolean n-Cube with Bounded Vapnik-Chervonenkis Dimension. J. Comb. Theory, Ser. A 69(2): 217-232 (1995)
63 David Haussler, Philip M. Long: A Generalization of Sauer's Lemma. J. Comb. Theory, Ser. A 71(2): 219-240 (1995)
62 Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler, Philip M. Long: Characterizations of Learnability for Classes of {0, ..., n}-Valued Functions. J. Comput. Syst. Sci. 50(1): 74-86 (1995)
1994
61EEDavid Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87
60 Yasubumi Sakakibara, Michael Brown, Richard Hughey, I. Saira Mian, Kimmen Sjölander, Rebecca C. Underwood, David Haussler: Recent Methods for RNA Modeling Using Stochastic Context-Free Grammars. CPM 1994: 289-306
59 Yasubumi Sakakibara, Michael Brown, Rebecca C. Underwood, I. Saira Mian, David Haussler: Stochastic Context-Free Grammars for Modeling RN. HICSS (5) 1994: 284-294
58 Leslie Grate, Mark Herbster, Richard Hughey, David Haussler, I. Saira Mian, Harry Noller: RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars. ISMB 1994: 138-146
57 Gary D. Stormo, David Haussler: Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence. ISMB 1994: 369-375
56 David Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting \0,1\-Functions on Randomly Drawn Points Inf. Comput. 115(2): 248-292 (1994)
55 David Haussler, Michael J. Kearns, Robert E. Schapire: Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. Machine Learning 14(1): 83-113 (1994)
1993
54 Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive Dimensions, Uniform Convergence, and Learnability FOCS 1993: 292-301
53 Michael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, Kimmen Sjölander, David Haussler: Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families. ISMB 1993: 47-55
52EENicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. STOC 1993: 382-391
1992
51 David Haussler: Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications Inf. Comput. 100(1): 78-150 (1992)
1991
50EEDavid Haussler, Michael J. Kearns, Robert E. Schapire: Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. COLT 1991: 61-74
49EEManfred Opper, David Haussler: Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise. COLT 1991: 75-87
48EEDavid Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire: Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods. NIPS 1991: 855-862
47EEYoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919
46 David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth: Equivalence of Models for Polynomial Learnability Inf. Comput. 95(2): 129-161 (1991)
1990
45 David Haussler: Probably Approximately Correct Learning. AAAI 1990: 1101-1108
44 David Haussler: Decision Theoretic Generalizations of the PAC Learning Model. ALT 1990: 21-41
43 Giulia Pagallo, David Haussler: Boolean Feature Discovery in Empirical Learning. Machine Learning 5: 71-99 (1990)
1989
42EEAleksandar Milosavljevic, David Haussler, Jerzy Jurka: Informed Parsimonious Inference of Prototypical Genetic Sequences. COLT 1989: 102-117
41 David Haussler: Generalizing the PAC Model: Sample Size Bounds From Metric Dimension-based Uniform Convergence Results FOCS 1989: 40-45
40 Giulia Pagallo, David Haussler: Two Algorithms That Learn DNF by Discovering Relevant Features. ML 1989: 119-123
39EEAnselm Blumer, Andrzej Ehrenfeucht, David Haussler: Average sizes of suffix trees and DAWGs. Discrete Applied Mathematics 24(1-3): 37-45 (1989)
38 Andrzej Ehrenfeucht, David Haussler: Learning Decision Trees from Random Examples Inf. Comput. 82(3): 231-246 (1989)
37 Andrzej Ehrenfeucht, David Haussler, Michael J. Kearns, Leslie G. Valiant: A General Lower Bound on the Number of Examples Needed for Learning Inf. Comput. 82(3): 247-261 (1989)
36EEAnselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Learnability and the Vapnik-Chervonenkis dimension. J. ACM 36(4): 929-965 (1989)
35 David Haussler: Learning Conjunctive Concepts in Structural Domains. Machine Learning 4: 7-40 (1989)
1988
34EEAndrzej Ehrenfeucht, David Haussler, Michael J. Kearns, Leslie G. Valiant: A General Lower Bound on the Number of Examples Needed for Learning. COLT 1988: 139-154
33EEAndrzej Ehrenfeucht, David Haussler: Learning Decision Trees from Random Examples. COLT 1988: 182-194
32EEDavid Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting {0, 1}-Functions on Randomly Drawn Points. COLT 1988: 280-296
31EEDavid Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth: Equivalence of Models for Polynomial Learnability. COLT 1988: 42-55
30 David Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting {0,1}-Functions on Randomly Drawn Points (Extended Abstract) FOCS 1988: 100-109
29EEEric B. Baum, David Haussler: What Size Net Gives Valid Generalization? NIPS 1988: 81-90
28 David Haussler: Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework. Artif. Intell. 36(2): 177-221 (1988)
27EEAndrzej Ehrenfeucht, David Haussler: A new distance metric on strings computable in linear time. Discrete Applied Mathematics 20(3): 191-203 (1988)
1987
26 David Haussler: Learning Conjunctive Concepts in Structural Domains. AAAI 1987: 466-470
25EENoga Alon, David Haussler, Emo Welzl: Partitioning and Geometric Embedding of Range Spaces of Finite Vapnik-Chervonenkis Dimension. Symposium on Computational Geometry 1987: 331-340
24 David Haussler, Emo Welzl: epsilon-Nets and Simplex Range Queries. Discrete & Computational Geometry 2: 127-151 (1987)
23 Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Occam's Razor. Inf. Process. Lett. 24(6): 377-380 (1987)
22EEAnselm Blumer, J. Blumer, David Haussler, Ross M. McConnell, Andrzej Ehrenfeucht: Complete inverted files for efficient text retrieval and analysis. J. ACM 34(3): 578-595 (1987)
21 David Haussler: New Theoretical Directions in Machine Learning. Machine Learning 2(4): 281-284 (1987)
20 Michael G. Main, Walter Bucher, David Haussler: Applications of an Infinite Square-Free CO-CFL. Theor. Comput. Sci. 49: 113-119 (1987)
1986
19 David Haussler: Quantifying the Inductive Bias in Concept Learning (Extended Abstract). AAAI 1986: 485-489
18 Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Classifying Learnable Geometric Concepts with the Vapnik-Chervonenkis Dimension (Extended Abstract) STOC 1986: 273-282
17EEDavid Haussler, Emo Welzl: Epsilon-Nets and Simplex Range Queries. Symposium on Computational Geometry 1986: 61-71
16EEHerbert Edelsbrunner, David Haussler: The complexity of cells in three-dimensional arrangements. Discrete Mathematics 60: 139-146 (1986)
15 B. Clift, David Haussler, Ross M. McConnell, Thomas D. Schneider, Gary D. Stormo: Sequence landscapes. Nucleic Acids Research 14(1): 141-158 (1986)
1985
14 Michael G. Main, Walter Bucher, David Haussler: Applications of an Infinite Squarefree CO-CFL. ICALP 1985: 404-412
13 Walter Bucher, Andrzej Ehrenfeucht, David Haussler: On Total Regulators Generated by Derivation Relations. ICALP 1985: 71-79
12EEDavid Haussler: Another generalization of Higman's well quasi order result on Sigma*. Discrete Mathematics 57(3): 237-243 (1985)
11 Walter Bucher, Andrzej Ehrenfeucht, David Haussler: On Total Regulators Generated by Derivation Relations. Theor. Comput. Sci. 40: 131-148 (1985)
10 Anselm Blumer, J. Blumer, David Haussler, Andrzej Ehrenfeucht, M. T. Chen, Joel I. Seiferas: The Smallest Automaton Recognizing the Subwords of a Text. Theor. Comput. Sci. 40: 31-55 (1985)
1984
9 Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Building the Minimal DFA for the Set of all Subwords of a Word On-line in Linear Time. ICALP 1984: 109-118
8 Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Building a Complete Inverted File for a Set of Text Files in Linear Time STOC 1984: 349-358
7 Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: On Ambiguity in Dos Systems. ITA 18(3): 279-295 (1984)
6 Manfred K. Warmuth, David Haussler: On the Complexity of Iterated Shuffle. J. Comput. Syst. Sci. 28(3): 345-358 (1984)
1983
5 Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Linear size finite automata for the set of all subwords of a word - an outline of results. Bulletin of the EATCS 21: 12-20 (1983)
4EEDavid Haussler: Insertion languages. Inf. Sci. 31(1): 77-89 (1983)
3 Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: On Regularity of Context-Free Languages. Theor. Comput. Sci. 27: 311-332 (1983)
1982
2 Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: Conditions Enforcing Regularity of Context-Free Languages. ICALP 1982: 187-191
1980
1 David Haussler, H. Paul Zeiger: Very Special Languages and Representations of Recursively Enumerable Languages via Computation Histories Information and Control 47(3): 201-212 (1980)

Coauthor Index

1Noga Alon [25] [54] [74]
2Manual Ares [98]
3Manuel Ares [93]
4Robert Baertsch [89] [103] [110] [113] [115]
5Galt P. Barber [103] [110] [111] [113]
6Eric B. Baum [29]
7David W. Bednarski [86]
8Gill Bejerano [99] [103] [110]
9Shai Ben-David [54] [62] [74]
10Mathieu Blanchette [99]
11Anselm Blumer [5] [8] [9] [10] [18] [22] [23] [36] [39]
12J. Blumer [5] [8] [9] [10] [22]
13Michael Brown [53] [59] [60] [69]
14Walter Bucher [11] [13] [14] [20]
15Nicolò Cesa-Bianchi [52] [54] [62] [74] [75] [81]
16M. T. Chen [10]
17Tyson Clark [93]
18Hiram Clawson [103] [105] [110] [111] [113]
19B. Clift [15]
20Melissa S. Cline [93]
21Nello Cristianini [86]
22Jeremy Darot [106]
23Mark Diekhans [84] [85] [89] [91] [96] [101] [102] [103] [105] [110] [113] [115]
24Nigel Duffy [86]
25Herbert Edelsbrunner [16]
26Frank H. Eeckman [72] [73] [78]
27Andrzej Ehrenfeucht [2] [3] [5] [7] [8] [9] [10] [11] [13] [18] [22] [23] [27] [33] [34] [36] [37] [38] [39] [65]
28Narayanan Eswar [102]
29Usama M. Fayyad [70] [71]
30Yoav Freund [47] [52] [75]
31Terrence S. Furey [86] [87] [89] [94] [103]
32Dan Geiger [100]
33Belinda Giardine [113]
34Leslie Grate [58]
35William Noble Grundy [87]
36Rachel A. Harte [103] [110] [111] [113]
37David Heckerman [100]
38David P. Helmbold [52] [75]
39Mark Herbster [58]
40Jennifer Hillman-Jackson [103] [111]
41Angela S. Hinrichs [89] [94] [103] [110] [113]
42Angie S. Hinrichs [111]
43Fan Hsu [101] [103] [105] [110] [113]
44Jing-Shan Hu [93]
45Earl Hubbell [93]
46Richard Hughey [53] [58] [60] [69]
47Tommi Jaakkola [82] [84] [85]
48Nebojsa Jojic [100]
49Vladimir Jojic [100]
50Jerzy Jurka [42]
51Rachel Karchin [88] [102]
52Donna Karolchik [89] [94] [101] [103] [110] [111] [113]
53Kevin Karplus [69] [88]
54Michael J. Kearns [31] [34] [37] [46] [48] [50] [55] [61] [68]
55Libusha Kelly [102]
56W. James Kent [89] [94] [98] [101] [103] [105] [109] [110] [111] [113]
57Andrew D. Kern [109]
58Jyrki Kivinen [66] [80]
59Emanuel Knill [65]
60K. M. Kober [113]
61Anders Krogh [53] [69]
62Robert M. Kuhn [101] [103] [105] [109] [110] [111] [113]
63David Kulp [72] [73] [78] [93]
64Betty Lazareva-Ulitsky [83]
65M. Liberto [87]
66Nick Littlestone [30] [31] [32] [46] [56]
67Philip M. Long [62] [63]
68Gang Lu [93]
69Y. T. Lu [89]
70Jian Ma [112] [114]
71Michael G. Main [14] [20]
72Ross M. McConnell [5] [8] [9] [15] [22]
73Christopher Meek [100]
74Gangwu Mei [93]
75I. Saira Mian [53] [58] [59] [60] [69]
76Webb Miller [112] [113] [114]
77Aleksandar Milosavljevic [42]
78Harry Noller [58]
79Manfred Opper [48] [49] [67] [77]
80Giulia Pagallo [40] [43]
81Paul Pavlidis [87]
82J. S. Pedersen [103] [110] [113]
83Ursula Pieper [102]
84Andy Pohl [103] [110] [113]
85Katherine S. Pollard [108]
86Tom H. Pringle [101]
87Brian J. Raney [103] [110] [111] [113] [114]
88Aakrosh Ratan [112] [114]
89Martin G. Reese [72] [73] [78]
90Brooke L. Rhead [109] [110] [111] [113]
91Kate R. Rosenbloom [103] [110] [111] [113]
92Krishna M. Roskin [89] [91] [94] [96]
93Grzegorz Rozenberg [2] [3] [7]
94Yasubumi Sakakibara [59] [60]
95Andrej Sali [102]
96Robert E. Schapire [48] [50] [52] [55] [75]
97Thomas D. Schneider [15]
98Michèl Schummer [86]
99M. Schwartz [89]
100Joel I. Seiferas [10]
101H. Sebastian Seung [61] [68]
102Michael A. Siani-Rose [93]
103Adam C. Siepel [90] [95] [97] [100] [103] [108] [110]
104Kimmen Sjölander [53] [60] [69]
105Kayla E. Smith [103] [110] [111] [113]
106Mario Stanke [110] [113] [115]
107Paul E. Stolorz [70] [71]
108Gary D. Stormo [15] [57]
109Charles W. Sugnet [89] [94] [98] [103] [110]
110Bernard B. Suh [114]
111A. Sultan-Qurraie [103]
112Archana Thakkapallayil [110] [111] [113]
113Daryl J. Thomas [89] [102] [103] [109] [110] [111]
114Naftali Tishby [61] [68]
115Heather Trumbower [103] [109] [110] [111] [113]
116Rebecca C. Underwood [59] [60]
117Leslie G. Valiant [34] [37]
118Hui Wang [93]
119T. Wang [113]
120Manfred K. Warmuth [6] [18] [23] [30] [31] [32] [36] [46] [52] [56] [66] [75] [80]
121R. J. Weber [89] [103]
122M. Weirauch [103]
123Emo Welzl [17] [24] [25]
124Jing Wu [104]
125Chen-Hsiang Yeang [106]
126H. Paul Zeiger [1]
127Louxin Zhang [112] [114]
128Ann S. Zweig [103] [110] [111] [113]

Colors in the list of coauthors

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