Bridging logic and kernel machines

DOI10.1007/s10994-011-5243-xzbMath1243.68238OpenAlexW2048919592MaRDI QIDQ439018

Leonardo Rigutini, Marco Maggini, Marco Gori, Michelangelo Diligenti

Publication date: 31 July 2012

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-011-5243-x

zbMATH Keywords

first-order logicmulti-task learningkernel machineslearning from constraintslearning with prior knowledgesemantic-based regularization

Mathematics Subject Classification ID

Computational learning theory (68Q32) Learning and adaptive systems in artificial intelligence (68T05) Logic in computer science (03B70) Classical first-order logic (03B10)

Related Items (8)

The principle of least cognitive action ⋮ Learning with Boundary Conditions ⋮ Symmetry and antisymmetry properties of optimal solutions to regression problems ⋮ Foundations of Support Constraint Machines ⋮ Semantic-based regularization for learning and inference ⋮ Structured learning modulo theories ⋮ ERBlox: combining matching dependencies with machine learning for entity resolution ⋮ Regression learning based on incomplete relationships between attributes

Uses Software

• kFOIL

Cites Work

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• Triangular norms
• Logic programs and connectionist networks
• Fast learning of relational kernels
• Probabilistic inductive logic programming. Theory and applications
• Markov logic networks
• Multitask Kernel-based Learning with Logic Constraints
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Introduction to Numerical Continuation Methods
• Training a Support Vector Machine in the Primal

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