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Searching for authors named Tom Bylander – sorted by Relevance.

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14 documents found, showing 1 through 10. Next 10 →

ATOM

Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
by Tom Bylander — 1998 — Artificial Intelligence
…Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms Tom Bylander Division…
Cited by 7 (0 self) – Add To MetaCart

Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
by Tom Bylander — 1997 — In Proc. Tenth Annual Conf. on Computational Learning Theory
…Worst-Case Absolute Loss Bounds for Linear Learning Algorithms Tom Bylander Division of Computer…
Cited by 2 (1 self) – Add To MetaCart

A Linear Programming Heuristic for Optimal Planning
by Tom Bylander — 1997 — In AAAI97/IAAI-97 Proceedings
…A Linear Programming Heuristic for Optimal Planning Tom Bylander Division of Computer Science…
Cited by 11 (0 self) – Add To MetaCart

Learning Linear Threshold Approximations Using Perceptrons
by Tom Bylander — 1994 — Neural Computation
…Learning Linear Threshold Approximations Using Perceptrons Tom Bylander Division of Mathematics…
Cited by 1 (1 self) – Add To MetaCart

Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
by Tom Bylander — 2000 — Machine Learning
…Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates Tom Bylander…
Cited by 4 (0 self) – Add To MetaCart

Learning Probabilistically Consistent Linear Threshold Functions
by Tom Bylander — 1997 — In Proc. Tenth Annual Conf. on Computational Learning Theory
…Learning Probabilistically Consistent Linear Threshold Functions Tom Bylander Division of Computer…
Cited by 3 (2 self) – Add To MetaCart

A Probabilistic Analysis of Propositional STRIPS Planning
by Tom Bylander — 1996 — Artificial Intelligence
…A Probabilistic Analysis of Propositional STRIPS Planning Tom Bylander Division of Mathematics…
Cited by 7 (1 self) – Add To MetaCart

Learning Linear Threshold Functions in the Presence of Classification Noise
by Tom Bylander — 1994 — In Proceedings of the Seventh Annual Workshop on Computational Learning Theory
…Learning Linear Threshold Functions in the Presence of Classification Noise Tom Bylander Division…
Cited by 23 (3 self) – Add To MetaCart

Polynomial Learnability of Linear Threshold Approximations
by Tom Bylander — 1993 — In Proceedings of the Sixth Annual Workshop on Computational Learning Theory
…Polynomial Learnability of Linear Threshold Approximations Tom Bylander Laboratory for Artificial…
Cited by 6 (2 self) – Add To MetaCart

The Binary Exponentiated Gradient Algorithm for Learning Linear Functions
by Tom Bylander — 1997 — In Proc. 10th Annu. Conf. on Comput. Learning Theory
…The Binary Exponentiated Gradient Algorithm for Learning Linear Functions Tom Bylander Division…
Cited by 9 (0 self) – Add To MetaCart

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ATOM

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