Machine Learning: A Constraint-Based Approach

By Marco Gori. 2017

48 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Marco Gori
2. Michael Spranger
3. Luciano Serafini
4. Son Dinh Tran
5. A.S. d'Avila Garcez
6. Yoshua Bengio
7. William L. Hamilton
8. Xiangnan He

Citations in the corpus

• Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning (2019, background): “Related ideas are discussed formally in the context of constraint-based learning and reasoning [19].”
• Neurosymbolic AI: the 3rd wave (2020, unknown): “posed by extending Neural Tensor Networks (NTN) [82], a state-of-the-art relational embedding method. Related ideas are discussed formally in the context of constraint-based learning and reasoning in [30]. Two powerful concepts of LTN are (1) the grounding of logical concepts onto tensors with the u”