Amanote Research

Amanote Research

    RegisterSign In

Learning Proof Heuristics by Adapting Parameters

doi 10.1016/b978-1-55860-377-6.50037-2
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 1995

Authors
Matthias Fuchs
Publisher

Elsevier


Related search

Random Neural Network Learning Heuristics – Corrigendum

Probability in the Engineering and Informational Sciences
IndustrialProbabilityUncertaintyManufacturing EngineeringManagement ScienceStatisticsOperations Research
2017English

Example-Based Learning for Vocational Education: Adopted From Balinese Heuristics Learning

Jurnal Pendidikan Vokasi
2019English

Automatic Learning of Proof Methods in Proof Planning

Logic Journal of the IGPL
Philosophy
2003English

Cohort Models of Learning: Adapting Content to Women’s Learning Styles

Journal of Leadership, Accountability and Ethics
2017English

Evolution by Adapting Surrogates

Evolutionary Computation
Computational Mathematics
2013English

Reactive Search: Machine Learning for Memory-Based Heuristics

2018English

Proof Step Analysis for Proof Tutoring - A Learning Approach to Granularity

Teaching Mathematics and Computer Science
2008English

Adapting Elementary School Learning Innovation in Industrial Revolution 4.0

2020English

On the Effectiveness of Heuristics for Learning Nested Dichotomies: An Empirical Analysis

Machine Learning
Artificial IntelligenceSoftware
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy