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David P. Helmbold: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Suresh K. Lodha, Edward J. Kreps, David P. Helmbold, Darren Fitzpatrick
    Aerial LiDAR Data Classification Using Support Vector Machines (SVM). [Citation Graph (0, 0)][DBLP]
    3DPVT, 2006, pp:567-574 [Conf]
  2. Oliver Wang, Suresh K. Lodha, David P. Helmbold
    A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2006, pp:192-199 [Conf]
  3. David C. Luckham, David P. Helmbold, Sigurd Meldal, D. L. Bryan, M. A. Haberler
    Task Sequencing Languages for Specifying Distributed Ada Systems. [Citation Graph (0, 0)][DBLP]
    System Development and Ada, 1986, pp:249-305 [Conf]
  4. David P. Helmbold, Ernst W. Mayr
    Two Processor Scheduling is in NC. [Citation Graph (0, 0)][DBLP]
    Aegean Workshop on Computing, 1986, pp:12-25 [Conf]
  5. Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza
    On Bayes Methods for On-Line Boolean Prediction. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:314-324 [Conf]
  6. Nigel Duffy, David P. Helmbold
    Leveraging for Regression. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:208-219 [Conf]
  7. Claudio Gentile, David P. Helmbold
    Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:104-115 [Conf]
  8. David P. Helmbold, Philip M. Long
    Tracking Drifting Concepts Using Random Examples. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:13-23 [Conf]
  9. David P. Helmbold, Sandra Panizza
    Some Label Efficient Learning Results. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:218-230 [Conf]
  10. David P. Helmbold, Robert E. Schapire
    Predicting Nearly as Well as the Best Pruning of a Decision Tree. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:61-68 [Conf]
  11. David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:69-78 [Conf]
  12. David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth
    Learning Nested Differences of Intersection-Closed Concept Classes. [Citation Graph (0, 0)][DBLP]
    COLT, 1989, pp:41-56 [Conf]
  13. David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth
    Learning Integer Lattices. [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:288-302 [Conf]
  14. David P. Helmbold, Manfred K. Warmuth
    Some Weak Learning Results. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:399-412 [Conf]
  15. Nigel Duffy, David P. Helmbold
    A Geometric Approach to Leveraging Weak Learners. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1999, pp:18-33 [Conf]
  16. David P. Helmbold, Stephen Kwek, Leonard Pitt
    Learning When to Trust Which Experts. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:134-149 [Conf]
  17. David P. Helmbold, Sandra Panizza, Manfred K. Warmuth
    Direct and Indirect Algorithms for On-line Learning of Disjunctions. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1999, pp:138-152 [Conf]
  18. David P. Helmbold, Nick Littlestone, Philip M. Long
    Apple Tasting and Nearly One-Sided Learning [Citation Graph (0, 0)][DBLP]
    FOCS, 1992, pp:493-502 [Conf]
  19. David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
    On-Line Portfolio Selection Using Multiplicative Updates. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:243-251 [Conf]
  20. David P. Helmbold, Ernst W. Mayr
    Perfect Graphs and Parallel Algorithms. [Citation Graph (0, 0)][DBLP]
    ICPP, 1986, pp:853-860 [Conf]
  21. David P. Helmbold, Charles E. McDowell
    Modeling Speedup greater than n. [Citation Graph (0, 0)][DBLP]
    ICPP (3), 1989, pp:219-225 [Conf]
  22. David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang
    Analyzing Traces with Anonymous Synchronization. [Citation Graph (0, 0)][DBLP]
    ICPP (2), 1990, pp:70-77 [Conf]
  23. David P. Helmbold, Darrell D. E. Long, Bruce Sherrod
    A Dynamic Disk Spin-Down Technique for Mobile Computing. [Citation Graph (0, 0)][DBLP]
    MOBICOM, 1996, pp:130-142 [Conf]
  24. Nigel Duffy, David P. Helmbold
    Potential Boosters? [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:258-264 [Conf]
  25. David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth
    Worst-case Loss Bounds for Single Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:309-315 [Conf]
  26. David C. Luckham, David P. Helmbold, D. L. Bryan, M. A. Haberler
    Task Sequencing Language for Specifying Distributed Ada Systems. [Citation Graph (0, 0)][DBLP]
    PARLE (2), 1987, pp:444-463 [Conf]
  27. David P. Helmbold, Charles E. McDowell
    Computing Reachable States of Parallel Programs. [Citation Graph (0, 0)][DBLP]
    Workshop on Parallel and Distributed Debugging, 1991, pp:76-84 [Conf]
  28. David P. Helmbold, Charles E. McDowell
    A Class of Synchronization Operations that Permit Efficient Race Detection. [Citation Graph (0, 0)][DBLP]
    PDPTA, 1996, pp:1537-1548 [Conf]
  29. 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]
  30. David P. Helmbold, Ernst W. Mayr
    Applications of Parallel Scheduling to Perfect Graphs. [Citation Graph (0, 0)][DBLP]
    WG, 1986, pp:188-203 [Conf]
  31. Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza
    On Bayes Methods for On-Line Boolean Prediction. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1998, v:22, n:1/2, pp:112-137 [Journal]
  32. Charles E. McDowell, David P. Helmbold
    Debugging Concurrent Programs. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 1989, v:21, n:4, pp:593-622 [Journal]
  33. David P. Helmbold, Nick Littlestone, Philip M. Long
    Apple Tasting. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2000, v:161, n:2, pp:85-139 [Journal]
  34. David P. Helmbold, Nick Littlestone, Philip M. Long
    On-Line Learning with Linear Loss Constraints. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2000, v:161, n:2, pp:140-171 [Journal]
  35. 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]
  36. David P. Helmbold, Manfred K. Warmuth
    On Weak Learning. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:50, n:3, pp:551-573 [Journal]
  37. David P. Helmbold, Charles E. McDowell
    A Taxonomy of Race Conditions. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1996, v:33, n:2, pp:159-164 [Journal]
  38. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth
    On-line Prediction and Conversion Strategies. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:1, pp:71-110 [Journal]
  39. Nigel Duffy, David P. Helmbold
    Boosting Methods for Regression. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:47, n:2-3, pp:153-200 [Journal]
  40. David P. Helmbold, Philip M. Long
    Tracking Drifting Concepts By Minimizing Disagreements. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:27-45 [Journal]
  41. David P. Helmbold, Robert E. Schapire
    Predicting Nearly As Well As the Best Pruning of a Decision Tree. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:27, n:1, pp:51-68 [Journal]
  42. David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:27, n:1, pp:97-119 [Journal]
  43. David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth
    Learning Nested Differences of Intersection-Closed Concept Classes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1990, v:5, n:, pp:165-196 [Journal]
  44. Graham Grindlay, David P. Helmbold
    Modeling, analyzing, and synthesizing expressive piano performance with graphical models. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:2-3, pp:361-387 [Journal]
  45. David P. Helmbold, Darrell D. E. Long, Tracey L. Sconyers, Bruce Sherrod
    Adaptive disk spin-down for mobile computers. [Citation Graph (0, 0)][DBLP]
    MONET, 2000, v:5, n:4, pp:285-297 [Journal]
  46. David P. Helmbold, Ernst W. Mayr
    Two Processor Scheduling is in NC. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1987, v:16, n:4, pp:747-759 [Journal]
  47. David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth
    Learning Integer Lattices. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1992, v:21, n:2, pp:240-266 [Journal]
  48. Nigel Duffy, David P. Helmbold
    A geometric approach to leveraging weak learners. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:284, n:1, pp:67-108 [Journal]
  49. David P. Helmbold, Sandra Panizza, Manfred K. Warmuth
    Direct and indirect algorithms for on-line learning of disjunctions. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:284, n:1, pp:109-142 [Journal]
  50. David P. Helmbold, Charles E. McDowell
    Modeling Speedup (n) Greater than n. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1990, v:1, n:2, pp:250-256 [Journal]
  51. David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang
    Determining Possible Event Orders by Analyzing Sequential Traces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1993, v:4, n:7, pp:827-840 [Journal]
  52. David P. Helmbold, Manfred K. Warmuth
    Learning Permutations with Exponential Weights. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:469-483 [Conf]

  53. Aerial Lidar Data Classification using AdaBoost. [Citation Graph (, )][DBLP]


  54. All-Moves-As-First Heuristics in Monte-Carlo Go. [Citation Graph (, )][DBLP]


  55. Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction [Citation Graph (, )][DBLP]


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