- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1433-0490
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Derandomization for Sliding Window Algorithms with Strict Correctness∗ ; day:14 ; month:8 ; year:2020 ; pages:1-18
Theory of computing systems ; (14.8.2020), 1-18
- Urheber
-
Ganardi, Moses
Hucke, Danny
Lohrey, Markus
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00224-020-10000-1
- URN
-
urn:nbn:de:101:1-2020100721044858184474
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Ganardi, Moses
- Hucke, Danny
- Lohrey, Markus
- SpringerLink (Online service)
Ähnliche Objekte (12)
Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives
Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
Language recognition in the sliding window model
Computing Minimal Unique Substrings for a Sliding Window
Sliding Window Empirical Mode Decomposition -its performance and quality
Sliding Window Top-K Monitoring over Distributed Data Streams
Diagnosis of model errors with a sliding time‐window Bayesian analysis
How secure is exponent-blinded RSA–CRT with sliding window exponentiation?
A training sequence parallel detection technology based on timeslot sliding window
Graph-based Sliding Window Localization and Map Refinement for Automated Vehicles
Versatile time-window sliding machine learning techniques for stock market forecasting
Strict
Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives
Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
Language recognition in the sliding window model
Computing Minimal Unique Substrings for a Sliding Window
Sliding Window Empirical Mode Decomposition -its performance and quality
Sliding Window Top-K Monitoring over Distributed Data Streams
Diagnosis of model errors with a sliding time‐window Bayesian analysis
How secure is exponent-blinded RSA–CRT with sliding window exponentiation?
A training sequence parallel detection technology based on timeslot sliding window
Graph-based Sliding Window Localization and Map Refinement for Automated Vehicles
Versatile time-window sliding machine learning techniques for stock market forecasting
Strict
Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives
Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
Language recognition in the sliding window model
Computing Minimal Unique Substrings for a Sliding Window
Sliding Window Empirical Mode Decomposition -its performance and quality
Sliding Window Top-K Monitoring over Distributed Data Streams
Diagnosis of model errors with a sliding time‐window Bayesian analysis
How secure is exponent-blinded RSA–CRT with sliding window exponentiation?
A training sequence parallel detection technology based on timeslot sliding window
Graph-based Sliding Window Localization and Map Refinement for Automated Vehicles
Versatile time-window sliding machine learning techniques for stock market forecasting