Ultra-Strong Machine Learning: Comprehensibility of Programs Learned With ILP

Machine Learning - Netherlands
doi 10.1007/s10994-018-5707-3
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Machine Learning-Based Approximation of Strong Branching

INFORMS Journal on Computing
Management ScienceComputer Science ApplicationsInformation SystemsOperations ResearchSoftware
2017English

Machine Learning Based Cost Engineering of Automotive Parts – Lessons Learned

Digitale Welt
2019English

Predictive Sequence Miner in ILP Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Boosting Descriptive ILP for Predictive Learning in Bioinformatics

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

The Performance Impact of Exploiting Branch ILP With Tree Representation of ILP Code

Computer Journal
Computer Science
1998English

Near-Optimal Bounds for Online Caching With Machine Learned Advice

2020English

Enhancement of Risk Prediction With Machine Learning

JAMA network open
Medicine
2019English

Distributing the Load With Machine Learning

Nature Reviews Physics
2020English

Protein Structure Prediction With Machine Learning

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy