David P. Helmbold

	2009
57		David P. Helmbold, Aleatha Parker-Wood: All-Moves-As-First Heuristics in Monte-Carlo Go. IC-AI 2009: 605-610
56		Damian Eads, Edward Rosten, David P. Helmbold: Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction CoRR abs/0907.4354: (2009)
	2007
55		Suresh K. Lodha, Darren N. Fitzpatrick, David P. Helmbold: Aerial Lidar Data Classification using AdaBoost. 3DIM 2007: 435-442
54		David P. Helmbold, Manfred K. Warmuth: Learning Permutations with Exponential Weights. COLT 2007: 469-483
	2006
53		Oliver Wang, Suresh K. Lodha, David P. Helmbold: A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data. 3DPVT 2006: 192-199
52		Suresh K. Lodha, Edward J. Kreps, David P. Helmbold, Darren N. Fitzpatrick: Aerial LiDAR Data Classification Using Support Vector Machines (SVM). 3DPVT 2006: 567-574
51		Graham Grindlay, David P. Helmbold: Modeling, analyzing, and synthesizing expressive piano performance with graphical models. Machine Learning 65(2-3): 361-387 (2006)
	2002
50		Nigel Duffy, David P. Helmbold: Boosting Methods for Regression. Machine Learning 47(2-3): 153-200 (2002)
49		David P. Helmbold, Sandra Panizza, Manfred K. Warmuth: Direct and indirect algorithms for on-line learning of disjunctions. Theor. Comput. Sci. 284(1): 109-142 (2002)
48		Nigel Duffy, David P. Helmbold: A geometric approach to leveraging weak learners. Theor. Comput. Sci. 284(1): 67-108 (2002)
	2001
47		David P. Helmbold, Bob Williamson: Computational Learning Theory, 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001, Proceedings Springer 2001
	2000
46		Nigel Duffy, David P. Helmbold: Leveraging for Regression. COLT 2000: 208-219
45		David P. Helmbold, Nick Littlestone, Philip M. Long: On-Line Learning with Linear Loss Constraints. Inf. Comput. 161(2): 140-171 (2000)
44		David P. Helmbold, Nick Littlestone, Philip M. Long: Apple Tasting. Inf. Comput. 161(2): 85-139 (2000)
43		David P. Helmbold, Darrell D. E. Long, Tracey L. Sconyers, Bruce Sherrod: Adaptive disk spin-down for mobile computers. MONET 5(4): 285-297 (2000)
	1999
42		David P. Helmbold, Sandra Panizza, Manfred K. Warmuth: Direct and Indirect Algorithms for On-line Learning of Disjunctions. EuroCOLT 1999: 138-152
41		Nigel Duffy, David P. Helmbold: A Geometric Approach to Leveraging Weak Learners. EuroCOLT 1999: 18-33
40		Nigel Duffy, David P. Helmbold: Potential Boosters? NIPS 1999: 258-264
39		David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth: Relative loss bounds for single neurons. IEEE Transactions on Neural Networks 10(6): 1291-1304 (1999)
	1998
38		Claudio Gentile, David P. Helmbold: Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach. COLT 1998: 104-115
37		Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza: On Bayes Methods for On-Line Boolean Prediction. Algorithmica 22(1/2): 112-137 (1998)
	1997
36		David P. Helmbold, Sandra Panizza: Some Label Efficient Learning Results. COLT 1997: 218-230
35		David P. Helmbold, Stephen Kwek, Leonard Pitt: Learning When to Trust Which Experts. EuroCOLT 1997: 134-149
34		Nicolò 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)
33		David P. Helmbold, Robert E. Schapire: Predicting Nearly As Well As the Best Pruning of a Decision Tree. Machine Learning 27(1): 51-68 (1997)
32		David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth: A Comparison of New and Old Algorithms for a Mixture Estimation Problem. Machine Learning 27(1): 97-119 (1997)
	1996
31		Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza: On Bayes Methods for On-Line Boolean Prediction. COLT 1996: 314-324
30		David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth: On-Line Portfolio Selection Using Multiplicative Updates. ICML 1996: 243-251
29		David P. Helmbold, Darrell D. E. Long, Bruce Sherrod: A Dynamic Disk Spin-Down Technique for Mobile Computing. MOBICOM 1996: 130-142
28		David P. Helmbold, Charles E. McDowell: A Class of Synchronization Operations that Permit Efficient Race Detection. PDPTA 1996: 1537-1548
27		David P. Helmbold, Charles E. McDowell: A Taxonomy of Race Conditions. J. Parallel Distrib. Comput. 33(2): 159-164 (1996)
26		Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth: On-line Prediction and Conversion Strategies. Machine Learning 25(1): 71-110 (1996)
	1995
25		David P. Helmbold, Robert E. Schapire: Predicting Nearly as Well as the Best Pruning of a Decision Tree. COLT 1995: 61-68
24		David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth: A Comparison of New and Old Algorithms for a Mixture Estimation Problem. COLT 1995: 69-78
23		David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth: Worst-case Loss Bounds for Single Neurons. NIPS 1995: 309-315
22		David P. Helmbold, Manfred K. Warmuth: On Weak Learning. J. Comput. Syst. Sci. 50(3): 551-573 (1995)
	1994
21		David P. Helmbold, Philip M. Long: Tracking Drifting Concepts By Minimizing Disagreements. Machine Learning 14(1): 27-45 (1994)
	1993
20		Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. STOC 1993: 382-391
19		David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang: Determining Possible Event Orders by Analyzing Sequential Traces. IEEE Trans. Parallel Distrib. Syst. 4(7): 827-840 (1993)
	1992
18		David P. Helmbold, Manfred K. Warmuth: Some Weak Learning Results. COLT 1992: 399-412
17		David P. Helmbold, Nick Littlestone, Philip M. Long: Apple Tasting and Nearly One-Sided Learning FOCS 1992: 493-502
16		David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth: Learning Integer Lattices. SIAM J. Comput. 21(2): 240-266 (1992)
	1991
15		David P. Helmbold, Philip M. Long: Tracking Drifting Concepts Using Random Examples. COLT 1991: 13-23
14		David P. Helmbold, Charles E. McDowell: Computing Reachable States of Parallel Programs. Workshop on Parallel and Distributed Debugging 1991: 76-84
	1990
13		David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth: Learning Integer Lattices. COLT 1990: 288-302
12		David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang: Analyzing Traces with Anonymous Synchronization. ICPP (2) 1990: 70-77
11		David P. Helmbold, Charles E. McDowell: Modeling Speedup (n) Greater than n. IEEE Trans. Parallel Distrib. Syst. 1(2): 250-256 (1990)
10		David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth: Learning Nested Differences of Intersection-Closed Concept Classes. Machine Learning 5: 165-196 (1990)
	1989
9		David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth: Learning Nested Differences of Intersection-Closed Concept Classes. COLT 1989: 41-56
8		David P. Helmbold, Charles E. McDowell: Modeling Speedup greater than n. ICPP (3) 1989: 219-225
7		Charles E. McDowell, David P. Helmbold: Debugging Concurrent Programs. ACM Comput. Surv. 21(4): 593-622 (1989)
	1987
6		David C. Luckham, David P. Helmbold, D. L. Bryan, M. A. Haberler: Task Sequencing Language for Specifying Distributed Ada Systems. PARLE (2) 1987: 444-463
5		David P. Helmbold, Ernst W. Mayr: Two Processor Scheduling is in NC. SIAM J. Comput. 16(4): 747-759 (1987)
	1986
4		David P. Helmbold, Ernst W. Mayr: Two Processor Scheduling is in NC. Aegean Workshop on Computing 1986: 12-25
3		David P. Helmbold, Ernst W. Mayr: Perfect Graphs and Parallel Algorithms. ICPP 1986: 853-860
2		David C. Luckham, David P. Helmbold, Sigurd Meldal, D. L. Bryan, M. A. Haberler: Task Sequencing Languages for Specifying Distributed Ada Systems. System Development and Ada 1986: 249-305
1		David P. Helmbold, Ernst W. Mayr: Applications of Parallel Scheduling to Perfect Graphs. WG 1986: 188-203

Coauthor Index

1	D. L. Bryan	[2] [6]
2	Nicolò Cesa-Bianchi	[20] [26] [31] [34] [37]
3	Nigel Duffy	[40] [41] [46] [48] [50]
4	Damian Eads	[56]
5	Darren N. Fitzpatrick	[52] [55]
6	Yoav Freund	[20] [26] [34]
7	Claudio Gentile	[38]
8	Graham Grindlay	[51]
9	M. A. Haberler	[2] [6]
10	David Haussler	[20] [34]
11	Jyrki Kivinen	[23] [39]
12	Edward J. Kreps	[52]
13	Stephen Kwek	[35]
14	Nick Littlestone	[17] [44] [45]
15	Suresh K. Lodha	[52] [53] [55]
16	Darrell D. E. Long	[29] [43]
17	Philip M. Long	[15] [17] [21] [44] [45]
18	David C. Luckham	[2] [6]
19	Ernst W. Mayr	[1] [3] [4] [5]
20	Charles E. McDowell (Charlie McDowell)	[7] [8] [11] [12] [14] [19] [27] [28]
21	Sigurd Meldal	[2]
22	Sandra Panizza	[31] [36] [37] [42] [49]
23	Aleatha Parker-Wood	[57]
24	Leonard Pitt	[35]
25	Edward Rosten	[56]
26	Robert E. Schapire	[20] [24] [25] [30] [32] [33] [34]
27	Tracey L. Sconyers	[43]
28	Bruce Sherrod	[29] [43]
29	Yoram Singer	[24] [30] [32]
30	Robert H. Sloan	[9] [10] [13] [16]
31	Jian-Zhong Wang	[12] [19]
32	Oliver Wang	[53]
33	Manfred K. Warmuth	[9] [10] [13] [16] [18] [20] [22] [23] [24] [26] [30] [32] [34] [39] [42] [49] [54]
34	Bob Williamson	[47]

Colors in the list of coauthors