Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors
Fuzzy tensors encode to what extent n-ary predicates are satisfied. The disjunctive box cluster model is a regression model where sub-tensors are explanatory variables for the values in the fuzzy tensor. In this article, locally optimal patterns for that model, with high areas times squared densitie...
Main Authors: | Lucas Maciel, Jônatas Alves, Vinicius Fernandes dos Santos, Loïc Cerf |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2020-07-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125942396/view |
Similar Items
-
IMPLEMENTASI ALGORITMA HILL CLIMBING PADA PENENTUAN JARAK TERPENDEK KOTA WISATA DI INDONESIA
by: Desti Fitriati, et al.
Published: (2019-07-01) -
gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data
by: Simone Ciccolella, et al.
Published: (2020-12-01) -
Una propuesta para diversificar el campo de aplicación de un algoritmo Hill Climbing
by: Christian Soria, et al.
Published: (2017-04-01) -
A New 1D Chaotic Map and <inline-formula> <tex-math notation="LaTeX">$\beta$ </tex-math></inline-formula>-Hill Climbing for Generating Substitution-Boxes
by: Amer Awad Alzaidi, et al.
Published: (2018-01-01) -
Hill-Climb-Assembler Encoding: Evolution of Small/Mid-Scale Artificial Neural Networks for Classification and Control Problems
by: Tomasz Praczyk
Published: (2022-07-01)