Statistical Query Learning (1998; Kearns)

2002 ◽

Cited By ~ 9

Author(s):

J.A. Aslam ◽

S.E. Decatur

Keyword(s):

Pac Learning ◽

Query Learning ◽

Learning With Noise

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Query Learning

Encyclopedia of the Sciences of Learning ◽

10.1007/978-1-4419-1428-6_5398 ◽

2012 ◽

pp. 2753-2753

Keyword(s):

Query Learning

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Query Learning and Certificates in Lattices

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/978-3-540-87987-9_26 ◽

2008 ◽

pp. 303-315 ◽

Cited By ~ 1

Author(s):

M. Arias ◽

J. L. Balcázar

Keyword(s):

Query Learning

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Cryptographic Limitations on Polynomial-Time a Posteriori Query Learning

Lecture Notes in Computer Science - Combinatorial Algorithms ◽

10.1007/978-3-319-94667-2_24 ◽

2018 ◽

pp. 285-297

Author(s):

Mikito Nanashima

Keyword(s):

Polynomial Time ◽

A Posteriori ◽

Query Learning

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Query learning of bounded-width OBDDs

Lecture Notes in Computer Science - Algorithmic Learning Theory ◽

10.1007/3-540-61863-5_32 ◽

1996 ◽

pp. 37-50 ◽

Cited By ~ 1

Author(s):

Atsuyoshi Nakamura

Keyword(s):

Query Learning ◽

Bounded Width

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Complexity theoretic hardness results for query learning

Computational Complexity ◽

10.1007/pl00001593 ◽

1998 ◽

Vol 7 (1) ◽

pp. 19-53 ◽

Cited By ~ 16

Author(s):

H. Aizenstein ◽

T. Hegedüs ◽

L. Hellerstein ◽

L. Pitt

Keyword(s):

Query Learning

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Improved network inversion technique for query learning application to automated cytology screening

[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium ◽

10.1109/cbms.1991.128985 ◽

2002 ◽

Cited By ~ 2

Author(s):

D.T. Davis ◽

J.-N. Hwang ◽

J.S.-J. Lee

Keyword(s):

Query Learning ◽

Inversion Technique ◽

Cytology Screening

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Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.1716236 ◽

2006 ◽

Author(s):

Kien-Ping Chung ◽

Kok Wai Wong ◽

Chun-Che Fung

Keyword(s):

Image Retrieval ◽

Content Based Image Retrieval ◽

Query Learning ◽

Learning Content ◽

Cluster Merging

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Query Learning of Regular Tree Languages: How to Avoid Dead States

Theory of Computing Systems ◽

10.1007/s00224-005-1233-3 ◽

2005 ◽

Vol 40 (2) ◽

pp. 163-185 ◽

Cited By ~ 9

Author(s):

Frank Drewes ◽

Johanna Högberg

Keyword(s):

Query Learning ◽

Regular Tree ◽

Tree Languages

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One model packs thousands of items with Recurrent Conditional Query Learning

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107683 ◽

2021 ◽

pp. 107683

Author(s):

Dongda Li ◽

Zhaoquan Gu ◽

Yuexuan Wang ◽

Changwei Ren ◽

Francis C.M. Lau

Keyword(s):

Query Learning

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Statistical Query Learning (1998; Kearns)

General bounds on statistical query learning and PAC learning with noise via hypothesis boosting

Query Learning

Query Learning and Certificates in Lattices

Cryptographic Limitations on Polynomial-Time a Posteriori Query Learning

Query learning of bounded-width OBDDs

Complexity theoretic hardness results for query learning

Improved network inversion technique for query learning application to automated cytology screening

Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach

Query Learning of Regular Tree Languages: How to Avoid Dead States

One model packs thousands of items with Recurrent Conditional Query Learning

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