Tom Bylander

46 papers A* 14A 1Misc 1Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2014 — conf
Web Searching with Multiple Correct Answers.
WIMS
Steven O'Hara, Tom Bylander
2012 — conf
Predicting website correctness from consensus analysis.
RACS
Steven O'Hara, Tom Bylander
2011 A* conf
Learning Linear Functions with Quadratic and Linear Multiplicative Updates.
ICML
Tom Bylander
2011 J jnl
Numeric Query Answering on the Web.
Int. J. Semantic Web Inf. Syst.
Steven O'Hara, Tom Bylander
2010 J jnl
Transforming examples for multiclass boosting.
J. Exp. Theor. Artif. Intell.
Tom Bylander
2006 A conf
Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics.
GECCO
Roy Schwaerzel, Tom Bylander
2006 Misc conf
Using Validation Sets to Avoid Overfitting in AdaBoost.
FLAIRS
Tom Bylander, Lisa Tate
2002 J jnl
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.
Mach. Learn.
Tom Bylander
1999 — conf
Estimating Generalization Error Using Out-of-Bag Estimates.
AAAI/IAAI
Tom Bylander, Dennis Hanzlik
1998 J jnl
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms.
Artif. Intell.
Tom Bylander
1997 — conf
A Linear Programming Heuristic for Optimal Planning.
AAAI/IAAI
Tom Bylander
1997 — conf
A perceptron-like online algorithm for tracking the median.
ICNN
Tom Bylander, Bruce Rosen
1997 A* conf
Learning Probabilistically Consistent Linear Threshold Functions.
COLT
Tom Bylander
1997 A* conf
The Binary Exponentiated Gradient Algorithm for Learning Linear Functions.
COLT
Tom Bylander
1997 — conf
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms.
AAAI/IAAI
Tom Bylander
1996 J jnl
A Probabilistic Analysis of Propositional STRIPS Planning.
Artif. Intell.
Tom Bylander
1995 J jnl
Learning Linear Threshold Approximations Using Perceptrons.
Neural Comput.
Tom Bylander
1994 A* conf
Learning Linear Threshold Functions in the Presence of Classification Noise.
COLT
Tom Bylander
1994 J jnl
The Computational Complexity of Propositional STRIPS Planning.
Artif. Intell.
Tom Bylander
1993 A* conf
An Average Case Analysis of Planning.
AAAI
Tom Bylander
1993 A* conf
Polynomial Learnability of Linear Threshold Approximations.
COLT
Tom Bylander
1992 A* conf
Complexity Results for Serial Decomposability.
AAAI
Tom Bylander
1991 J jnl
A Theory of Consolidation for Reasoning about Devices.
Int. J. Man Mach. Stud.
Tom Bylander
1991 A* conf
Complexity Results for Planning.
IJCAI
Tom Bylander
1991 — conf
Generating Error Candidates for Assigning Blame in a Knowledge Base.
ML
Michael A. Weintraub, Tom Bylander
1991 J jnl
Knowledge Compilation: A Symposium.
IEEE Expert
Ashok K. Goel, Tom Bylander, B. Chandrasekaran, Thomas G. Dietterich, Richard M. Keller, Chris Tong
1991 J jnl
Structured matching: a task-specific technique for making decisions.
Knowl. Acquis.
Tom Bylander, Todd R. Johnson, Ashok K. Goel
1991 J jnl
The Computational Complexity of Abduction.
Artif. Intell.
Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson
1991 A* conf
The Monotonic Abduction Problem: A Functional Characterization on the Edge of Tractability.
KR
Tom Bylander
1991 A* conf
The Qualitative Difference Resolution Rule.
AAAI
Tom Bylander
1991 J jnl
Tractability and artificial intelligence.
J. Exp. Theor. Artif. Intell.
Tom Bylander
1990 J jnl
Some causal models are deeper than others.
Artif. Intell. Medicine
Tom Bylander
1989 J jnl
Computational Feasibility of Structured Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Ashok K. Goel, Tom Bylander
1989 A* conf
Some Results Concerning the Computational Complexity of Abduction.
KR
Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson
1989 — conf
Structured matching: a task-specific technique for making decisions.
TAI
Tom Bylander, Todd R. Johnson, Ashok K. Goel
1989 J jnl
Using causal reasoning in gait analysis.
Appl. Artif. Intell.
David E. Hirsch, Sheldon R. Simon, Tom Bylander, Michael A. Weintraub, Peter Szolovits
1988 J jnl
A critique of qualitative simulation from a consolidation viewpoint.
IEEE Trans. Syst. Man Cybern.
Tom Bylander
1988 J jnl
Theoretical Issues in Conceptual Information Processing.
AI Mag.
James A. Hendler, Balakrishnan Chandrasekaran, Beth Adelson, Richard Alterman, Tom Bylander, Michael Dyer
1987 A* conf
Computational Complexity of Hypothesis Assembly.
IJCAI
Dean Allemang, Michael C. Tanner, Tom Bylander, John R. Josephson
1987 J jnl
Distributed Expert-Based Information Systems: An Interdisciplinary Approach.
Inf. Process. Manag.
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
1987 J jnl
Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition.
Int. J. Man Mach. Stud.
Tom Bylander, B. Chandrasekaran
1987 — conf
The Generic Task Toolset.
HCI (2)
Tom Bylander, B. Chandrasekaran, John R. Josephson
1986 J jnl
CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling.
AI Mag.
Tom Bylander, Sanjay Mittal
1985 J jnl
Artificial Intelligence Research at The Ohio State University.
AI Mag.
B. Chandrasekaran, Tom Bylander
1985 A* conf
Understanding Behavior Using Consolidation.
IJCAI
Tom Bylander, B. Chandrasekaran
1983 A* conf
CSRL: A Language for Expert Systems for Diagnosis.
IJCAI
Tom Bylander, Sanjay Mittal, B. Chandrasekaran