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Tom Bylander
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2010 – 2019
- 2014
- [c25]Steven O'Hara, Tom Bylander:
Web Searching with Multiple Correct Answers. WIMS 2014: 45:1-45:6 - 2012
- [c24]Steven O'Hara, Tom Bylander:
Predicting website correctness from consensus analysis. RACS 2012: 49-54 - 2011
- [j21]Steven O'Hara, Tom Bylander:
Numeric Query Answering on the Web. Int. J. Semantic Web Inf. Syst. 7(1): 1-17 (2011) - [c23]Tom Bylander:
Learning Linear Functions with Quadratic and Linear Multiplicative Updates. ICML 2011: 505-512 - 2010
- [j20]Tom Bylander:
Transforming examples for multiclass boosting. J. Exp. Theor. Artif. Intell. 22(1): 53-65 (2010)
2000 – 2009
- 2006
- [c22]Tom Bylander, Lisa Tate:
Using Validation Sets to Avoid Overfitting in AdaBoost. FLAIRS 2006: 544-549 - [c21]Roy Schwaerzel, Tom Bylander:
Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics. GECCO 2006: 955-956 - 2002
- [j19]Tom Bylander:
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates. Mach. Learn. 48(1-3): 287-297 (2002)
1990 – 1999
- 1999
- [c20]Tom Bylander, Dennis Hanzlik:
Estimating Generalization Error Using Out-of-Bag Estimates. AAAI/IAAI 1999: 321-327 - 1998
- [j18]Tom Bylander:
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms. Artif. Intell. 106(2): 335-352 (1998) - 1997
- [c19]Tom Bylander:
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms. AAAI/IAAI 1997: 485-490 - [c18]Tom Bylander:
A Linear Programming Heuristic for Optimal Planning. AAAI/IAAI 1997: 694-699 - [c17]Tom Bylander:
Learning Probabilistically Consistent Linear Threshold Functions. COLT 1997: 62-71 - [c16]Tom Bylander:
The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. COLT 1997: 184-192 - [c15]Tom Bylander, Bruce Rosen:
A perceptron-like online algorithm for tracking the median. ICNN 1997: 2219-2224 - 1996
- [j17]Tom Bylander:
A Probabilistic Analysis of Propositional STRIPS Planning. Artif. Intell. 81(1-2): 241-271 (1996) - 1995
- [j16]Tom Bylander:
Learning Linear Threshold Approximations Using Perceptrons. Neural Comput. 7(2): 370-379 (1995) - 1994
- [j15]Tom Bylander:
The Computational Complexity of Propositional STRIPS Planning. Artif. Intell. 69(1-2): 165-204 (1994) - [c14]Tom Bylander:
Learning Linear Threshold Functions in the Presence of Classification Noise. COLT 1994: 340-347 - 1993
- [c13]Tom Bylander:
An Average Case Analysis of Planning. AAAI 1993: 480-485 - [c12]Tom Bylander:
Polynomial Learnability of Linear Threshold Approximations. COLT 1993: 297-302 - 1992
- [c11]Tom Bylander:
Complexity Results for Serial Decomposability. AAAI 1992: 729-734 - 1991
- [j14]Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson:
The Computational Complexity of Abduction. Artif. Intell. 49(1-3): 25-60 (1991) - [j13]Ashok K. Goel, Tom Bylander, B. Chandrasekaran, Thomas G. Dietterich, Richard M. Keller, Chris Tong:
Knowledge Compilation: A Symposium. IEEE Expert 6(2): 71-93 (1991) - [j12]Tom Bylander:
A Theory of Consolidation for Reasoning about Devices. Int. J. Man Mach. Stud. 35(4): 467-489 (1991) - [j11]Tom Bylander:
Tractability and artificial intelligence. J. Exp. Theor. Artif. Intell. 3(3): 171-178 (1991) - [j10]Tom Bylander, Todd R. Johnson, Ashok K. Goel:
Structured matching: a task-specific technique for making decisions. Knowl. Acquis. 3(1): 1-20 (1991) - [c10]Tom Bylander:
The Qualitative Difference Resolution Rule. AAAI 1991: 824-829 - [c9]Michael A. Weintraub, Tom Bylander:
Generating Error Candidates for Assigning Blame in a Knowledge Base. ML 1991: 33-37 - [c8]Tom Bylander:
Complexity Results for Planning. IJCAI 1991: 274-279 - [c7]Tom Bylander:
The Monotonic Abduction Problem: A Functional Characterization on the Edge of Tractability. KR 1991: 70-77 - 1990
- [j9]Tom Bylander:
Some causal models are deeper than others. Artif. Intell. Medicine 2(3): 123-128 (1990)
1980 – 1989
- 1989
- [j8]David E. Hirsch, Sheldon R. Simon, Tom Bylander, Michael A. Weintraub, Peter Szolovits
:
Using causal reasoning in gait analysis. Appl. Artif. Intell. 3(2-3): 337-356 (1989) - [j7]Ashok K. Goel, Tom Bylander:
Computational Feasibility of Structured Matching. IEEE Trans. Pattern Anal. Mach. Intell. 11(12): 1312-1316 (1989) - [c6]Tom Bylander, Todd R. Johnson, Ashok K. Goel:
Structured matching: a task-specific technique for making decisions. TAI 1989: 138-145 - [c5]Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson:
Some Results Concerning the Computational Complexity of Abduction. KR 1989: 44-54 - 1988
- [j6]James A. Hendler, Balakrishnan Chandrasekaran, Beth Adelson, Richard Alterman, Tom Bylander, Michael Dyer:
Theoretical Issues in Conceptual Information Processing. AI Mag. 9(4): 71-76 (1988) - [j5]Tom Bylander:
A critique of qualitative simulation from a consolidation viewpoint. IEEE Trans. Syst. Man Cybern. 18(2): 252-263 (1988) - 1987
- [j4]Tom Bylander, B. Chandrasekaran:
Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition. Int. J. Man Mach. Stud. 26(2): 231-243 (1987) - [j3]Nicholas J. Belkin, Christine L. Borgman
Distributed Expert-Based Information Systems: An Interdisciplinary Approach. Inf. Process. Manag. 23(5): 395-409 (1987) - [c4]Tom Bylander, B. Chandrasekaran, John R. Josephson:
The Generic Task Toolset. HCI (2) 1987: 507-514 - [c3]Dean Allemang, Michael C. Tanner, Tom Bylander, John R. Josephson:
Computational Complexity of Hypothesis Assembly. IJCAI 1987: 1112-1119 - 1986
- [j2]Tom Bylander, Sanjay Mittal:
CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling. AI Mag. 7(3): 66-77 (1986) - 1985
- [j1]B. Chandrasekaran, Tom Bylander:
Artificial Intelligence Research at The Ohio State University. AI Mag. 6(2): 74-79 (1985) - [c2]Tom Bylander, B. Chandrasekaran:
Understanding Behavior Using Consolidation. IJCAI 1985: 450-454 - 1983
- [c1]Tom Bylander, Sanjay Mittal, B. Chandrasekaran:
CSRL: A Language for Expert Systems for Diagnosis. IJCAI 1983: 218-221
Coauthor Index
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