Tom Bylander

Steven O'Hara, Tom Bylander: Numeric Query Answering on the Web. Int. J. Semantic Web Inf. Syst. 7(1): 1-17 (2011)

Tom Bylander: Learning Linear Functions with Quadratic and Linear Multiplicative Updates. ICML 2011: 505-512

Tom Bylander: Transforming examples for multiclass boosting. J. Exp. Theor. Artif. Intell. 22(1): 53-65 (2010)

Tom Bylander, Lisa Tate: Using Validation Sets to Avoid Overfitting in AdaBoost. FLAIRS Conference 2006: 544-549

Roy Schwaerzel, Tom Bylander: Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics. GECCO 2006: 955-956

Tom Bylander: Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates. Machine Learning 48(1-3): 287-297 (2002)

Tom Bylander, Dennis Hanzlik: Estimating Generalization Error Using Out-of-Bag Estimates. AAAI/IAAI 1999: 321-327

Tom Bylander: Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms. Artif. Intell. 106(2): 335-352 (1998)

Tom Bylander: Worst-Case Absolute Loss Bounds for Linear Learning Algorithms. AAAI/IAAI 1997: 485-490

Tom Bylander: A Linear Programming Heuristic for Optimal Planning. AAAI/IAAI 1997: 694-699

Tom Bylander: Learning Probabilistically Consistent Linear Threshold Functions. COLT 1997: 62-71

Tom Bylander: The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. COLT 1997: 184-192

Tom Bylander: A Probabilistic Analysis of Propositional STRIPS Planning. Artif. Intell. 81(1-2): 241-271 (1996)

Tom Bylander: The Computational Complexity of Propositional STRIPS Planning. Artif. Intell. 69(1-2): 165-204 (1994)

Tom Bylander: Learning Linear Threshold Functions in the Presence of Classification Noise. COLT 1994: 340-347

Tom Bylander: An Average Case Analysis of Planning. AAAI 1993: 480-485

Tom Bylander: Polynomial Learnability of Linear Threshold Approximations. COLT 1993: 297-302

Tom Bylander: Complexity Results for Serial Decomposability. AAAI 1992: 729-734

Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson: The Computational Complexity of Abduction. Artif. Intell. 49(1-3): 25-60 (1991)

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)

Tom Bylander: A Theory of Consolidation for Reasoning about Devices. International Journal of Man-Machine Studies 35(4): 467-489 (1991)

Tom Bylander: Tractability and artificial intelligence. J. Exp. Theor. Artif. Intell. 3(3): 171-178 (1991)

Tom Bylander: The Qualitative Difference Resolution Rule. AAAI 1991: 824-829

Michael A. Weintraub, Tom Bylander: Generating Error Candidates for Assigning Blame in a Knowledge Base. ML 1991: 33-37

Tom Bylander: Complexity Results for Planning. IJCAI 1991: 274-279

Tom Bylander: The Monotonic Abduction Problem: A Functional Characterization on the Edge of Tractability. KR 1991: 70-77

Tom Bylander: Some causal models are deeper than others. Artificial Intelligence in Medicine 2(3): 123-128 (1990)

David E. Hirsch, Sheldon R. Simon, Tom Bylander, Michael A. Weintraub, Peter Szolovits: Using causal reasoning in gait analysis. Applied Artificial Intelligence 3(2-3): 337-356 (1989)

Ashok K. Goel, Tom Bylander: Computational Feasibility of Structured Matching. IEEE Trans. Pattern Anal. Mach. Intell. 11(12): 1312-1316 (1989)

Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson: Some Results Concerning the Computational Complexity of Abduction. KR 1989: 44-54

James A. Hendler, Balakrishnan Chandrasekaran, Beth Adelson, Richard Alterman, Tom Bylander, Michael Dyer: Theoretical Issues in Conceptual Information Processing. AI Magazine 9(4): 71-76 (1988)

Tom Bylander, B. Chandrasekaran: Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition. International Journal of Man-Machine Studies 26(2): 231-243 (1987)

Nicholas J. Belkin, Christine L. Borgman, Helen M. Brooks, Tom Bylander, W. Bruce Croft, Penny J. Daniels, Scott C. Deerwester, Edward A. Fox, Peter Ingwersen, Roy Rada: Distributed Expert-Based Information Systems: An Interdisciplinary Approach. Inf. Process. Manage. 23(5): 395-409 (1987)

Tom Bylander, B. Chandrasekaran, John R. Josephson: The Generic Task Toolset. HCI (2) 1987: 507-514

Dean Allemang, Michael C. Tanner, Tom Bylander, John R. Josephson: Computational Complexity of Hypothesis Assembly. IJCAI 1987: 1112-1119

Tom Bylander, Sanjay Mittal: CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling. AI Magazine 7(3): 66-77 (1986)

B. Chandrasekaran, Tom Bylander: Artificial Intelligence Research at The Ohio State University. AI Magazine 6(2): 74-79 (1985)

Tom Bylander, B. Chandrasekaran: Understanding Behavior Using Consolidation. IJCAI 1985: 450-454

Tom Bylander, Sanjay Mittal, B. Chandrasekaran: CSRL: A Language for Expert Systems for Diagnosis. IJCAI 1983: 218-221