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Shavlik, Jude W. [Editor]; Dietterich, Thomas G. [Other]

Readings in machine learning - [2. Nachdr.]

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San Mateo, Calif.: Morgan Kaufmann, 1991

Published in: The Morgan Kaufmann series in machine learning
Tuzhilin, Alexander [Other]; Shavlik, Jude W. [Other]; Wu, Xindong [Other] ; IEEE International Conference on Data Mining (3rd :2003 :Melbourne, Fla.), IEEE Computer Society Technical Committee on Computational Intelligence, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence

Third IEEE International Conference on Data Mining : proceedings : ICDM 2003 : 19-22 November, 2003, Melbourne, Florida

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... to E-book via IEEE Xplore (Volltext)

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Los Alamitos, Calif: IEEE Computer Society, 2003
Mooney, Raymond J. [Author]; Shavlik, Jude W. [Author]

A Recap of Early Work on Theory and Knowledge Refinement

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... to article (Volltext ; freely accessible)

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2021

Published in: Combining Machine Learning and Knowledge Engineering (Veranstaltung : 2021 : Online): AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering ; 2021
Shavlik, Jude W.

Combining symbolic and neural learning

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Springer Science and Business Media LLC, 1994

Published in: Machine Learning, 14 (1994) 3, Seite 321-331
Maclin, Richard; Shavlik, Jude W.

Creating advice-taking reinforcement learners

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Springer Science and Business Media LLC, 1996

Published in: Machine Learning, 22 (1996) 1-3, Seite 251-281
Maclin, Richard; Shavlik, Jude W.

Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding

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Springer Science and Business Media LLC, 1993

Published in: Machine Learning, 11 (1993) 2-3, Seite 195-215
Opitz, David W; Shavlik, Jude W

Actively Searching for an Effective Neural Network Ensemble

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Informa UK Limited, 1996

Published in: Connection Science, 8 (1996) 3-4, Seite 337-354
Towell, Geoffrey G.; Shavlik, Jude W.

Extracting refined rules from knowledge-based neural networks

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Springer Science and Business Media LLC, 1993

Published in: Machine Learning, 13 (1993) 1, Seite 71-101
Towell, Geoffrey G.; Shavlik, Jude W.

Knowledge-based artificial neural networks

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Elsevier BV, 1994

Published in: Artificial Intelligence, 70 (1994) 1-2, Seite 119-165
Shavlik, Jude W.; DeJong, Gerald F.

Learning in mathematically-based domains: Understanding and generalizing obstacle cancellations

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Elsevier BV, 1990

Published in: Artificial Intelligence, 45 (1990) 1-2, Seite 1-45
Scott, Gary M.; Shavlik, Jude W.; Ray, W. Harmon

Refining PID Controllers Using Neural Networks

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MIT Press - Journals, 1992

Published in: Neural Computation, 4 (1992) 5, Seite 746-757
Chen, Bee-Chung; Ramakrishnan, Raghu; Shavlik, Jude W.; Tamma, Pradeep

Bellwether analysis : Searching for cost-effective query-defined predictors in large databases : Searching for cost-effective query-defined predictors in large databases

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Association for Computing Machinery (ACM), 2009

Published in: ACM Transactions on Knowledge Discovery from Data, 3 (2009) 1, Seite 1-49
Fung, Glenn M.; Mangasarian, Olvi L.; Shavlik, Jude W.

Learning Theory and Kernel Machines: Knowledge-Based Nonlinear Kernel Classifiers

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Springer Berlin Heidelberg, 2003

Published in: Learning Theory and Kernel Machines (2003), Seite 102-113
Shavlik, Jude W.; Mooney, Raymond J.; Towell, Geoffrey G.

Symbolic and neural learning algorithms: An experimental comparison

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Springer Science and Business Media LLC, 1991

Published in: Machine Learning, 6 (1991) 2, Seite 111-143
Ayer, Turgay; Alagoz, Oguzhan; Chhatwal, Jagpreet; Shavlik, Jude W.; Kahn, Charles E.; Burnside, Elizabeth S.

Breast cancer risk estimation with artificial neural networks revisited : Discrimination and calibration : Discrimination and calibration

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Wiley, 2010

Published in: Cancer, 116 (2010) 14, Seite 3310-3321
Woods, Ryan W.; Oliphant, Louis; Shinki, Kazuhiko; Page, David; Shavlik, Jude; Burnside, Elizabeth

Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer

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Springer Science and Business Media LLC, 2010

Published in: Journal of Digital Imaging, 23 (2010) 5, Seite 554-561
DiMaio, Frank; Kondrashov, Dmitry A.; Bitto, Eduard; Soni, Ameet; Bingman, Craig A.; Phillips, George N.; Shavlik, Jude W.

Creating protein models from electron-density maps using particle-filtering methods

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Oxford University Press (OUP), 2007

Published in: Bioinformatics, 23 (2007) 21, Seite 2851-2858

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