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David Haussler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

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

  110. Cactus Graphs for Genome Comparisons. [Citation Graph (, )][DBLP]


  111. Computing how we became human. [Citation Graph (, )][DBLP]


  112. Using native and syntenically mapped cDNA alignments to improve de novo gene finding. [Citation Graph (, )][DBLP]


  113. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM. [Citation Graph (, )][DBLP]


  114. A new distance metric on strings computable in linear time. [Citation Graph (, )][DBLP]


  115. Average sizes of suffix trees and DAWGs. [Citation Graph (, )][DBLP]


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