Machine Learning, Optimization, and Data Science

Book title Buchtitel
Machine Learning, Optimization, and Data Science
 
ISBN
978-3-030-95470-3
 
Publisher Herausgeber
Springer Nature Switzerland AG
 
Place of publishing Erscheinungsort
Cham, Switzerland
 
DOI
10.1007/978-3-030-95470-3
 
Series Schriftenreihe
Lecture Notes in Computer Science
 
Volume Band
13164
 

Publications Publikationen

Results 1-4 of 4 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Djukanovic, Marko ; Raidl, Günther R. ; Blum, Christian A Beam Search for the Longest Common Subsequence Problem Guided by a Novel Approximate Expected Length CalculationKonferenzbeitrag Inproceedings 2020
2Jatschka, Thomas ; Rodemann, Tobias ; Raidl, Günther Exploiting Similar Behavior of Users in a Cooperative Optimization Approach for Distributing Service Points in Mobility ApplicationsKonferenzbeitrag Inproceedings 2019
3Huber-2022-Learning Beam Search Utilizing Machine Learning toGuide Beam Se...-am.pdf.jpgHuber, Marc ; Raidl, Günther Learning Beam Search: Utilizing Machine Learning to Guide Beam Search for Solving Combinatorial Optimization ProblemsInproceedings Konferenzbeitrag 2-Feb-2022
4Frohner, Nikolaus ; Raidl, Günther Merging Quality Estimation for Binary Decision Diagrams with Binary ClassifiersKonferenzbeitrag Inproceedings 2020