Learning programs by learning from failures

Learning programs by learning from failures

We describe an inductive logic programming (ILP) approach called learning from failures. In this approach, an ILP system (the learner) decomposes the learning problem into three separate stages: generate, test, and constrain. In the generate stage, the learner generates a hypothesis (a logic program...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Cropper, A, Morel, R
Formáid:	Journal article
Teanga:	English
Foilsithe / Cruthaithe:	Springer 2021

Míreanna comhchosúla

Learning logic programs by explaining their failures
de réir: Morel, R, et al.
Foilsithe / Cruthaithe: (2023)

Learning higher-order logic programs
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2019)

Typed meta-interpretive learning of logic programs
de réir: Ong, C, et al.
Foilsithe / Cruthaithe: (2019)

Learning efficient logic programs
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2018)

Learning logic programs by combining programs
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2023)

Learning programs with magic values
de réir: Hocquette, MEJ, et al.
Foilsithe / Cruthaithe: (2023)

Learning logic programs through divide, constrain, and conquer
de réir: Cropper, A
Foilsithe / Cruthaithe: (2022)

Learning logic programs by discovering where not to search
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2023)

Learning MDL logic programs from noisy data
de réir: Hocquette, C, et al.
Foilsithe / Cruthaithe: (2024)

Learning higher-order logic programs through abstraction and invention
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2016)

Learning big logical rules by joining small rules
de réir: Hocquette, C, et al.
Foilsithe / Cruthaithe: (2024)

Learning logic programs by discovering higher-order abstractions
de réir: Hocquette, C, et al.
Foilsithe / Cruthaithe: (2024)

Learning from design failures /
de réir: Hatamura, Yotaro
Foilsithe / Cruthaithe: (2009)

Derivation reduction of metarules in meta-interpretive learning
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2018)

Inverse reinforcement learning from failure
de réir: Shiarlis, K, et al.
Foilsithe / Cruthaithe: (2016)

Learning More from Failure: Practice and Process
de réir: Whittington, R
Foilsithe / Cruthaithe: (2006)

Learning efficient logical robot strategies involving composable objects
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2015)

Learning from failures : deficiencies in design, construction and service /
de réir: 451528 Raikar, R. N.
Foilsithe / Cruthaithe: (1987)

Learning from construction failures : applied forensic engineering /
de réir: Campbell, Peter
Foilsithe / Cruthaithe: (2001)

Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
de réir: Duan, Chenru, et al.
Foilsithe / Cruthaithe: (2020)

Learning from failure: the need for independent safety investigation in healthcare.
de réir: Macrae, C, et al.
Foilsithe / Cruthaithe: (2014)

Symbolic metaprogram search improves learning efficiency and explains rule learning in humans
de réir: Rule, JS, et al.
Foilsithe / Cruthaithe: (2024)

Inductive logic programming at 30: a new introduction
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2022)

Boom, bust and failures to learn in experimental markets
Foilsithe / Cruthaithe: (2003)

Learn from experience: probabilistic prediction of perception performance to avoid failure
de réir: Gurău, C, et al.
Foilsithe / Cruthaithe: (2017)

Learning from failure : long-term behaviour of heavy masonry structures /
de réir: Binda, Luigia
Foilsithe / Cruthaithe: (c200)

Knowledge refactoring for inductive program synthesis
de réir: Dumancic, S, et al.
Foilsithe / Cruthaithe: (2021)

Relational program synthesis with numerical reasoning
de réir: Hocquette, C, et al.
Foilsithe / Cruthaithe: (2023)

Learning to superoptimize programs
de réir: Bunel, R, et al.
Foilsithe / Cruthaithe: (2017)

Learning to program /
de réir: 344918 Johnston, Howard
Foilsithe / Cruthaithe: (1985)

Inductive logic programming as satisfiability modulo theories
de réir: Morel, R
Foilsithe / Cruthaithe: (2023)

The more we know : NBC news, educational innovation, and learning from failure /
de réir: 553434 Klopfer, Eric, et al.
Foilsithe / Cruthaithe: (c201)

Inductive logic programming at 30
de réir: Cropper, A, et al.
Foilsithe / Cruthaithe: (2021)

Power Failure Cascade Prediction using Machine Learning
de réir: Chadaga, Sathwik P.
Foilsithe / Cruthaithe: (2023)

Key learning points: NICE chronic heart failure
de réir: Taylor, C, et al.
Foilsithe / Cruthaithe: (2018)

Vicarious Learning, Under-Sampling of Failure, and the Myths of Management
de réir: Denrell, J
Foilsithe / Cruthaithe: (2003)

A learned helplessness analysis of perceived failure in mathematics /
de réir: 297440 Gentile, J. Ronald, et al.

Learning program semantics via exploring program structures with deep learning
de réir: Liu, Shangqing
Foilsithe / Cruthaithe: (2023)

Learn to program with java /
de réir: 271160 Smiley, John
Foilsithe / Cruthaithe: (2002)

Learn to program with C++ /
de réir: 271160 Smiley, John
Foilsithe / Cruthaithe: (2002)