Learning to Optimize (Englisch)
- Neue Suche nach: Bremer, Jörg
- Neue Suche nach: Bremer, Jörg
In:
Recent advances in computational optimization
; 1-20
;
2022
-
ISBN:
- Aufsatz (Konferenz) / Print
-
Titel:Learning to Optimize
-
Beteiligte:Bremer, Jörg ( Autor:in )
-
Kongress:Workshop on Computational Optimization ; 14. ; 2021 ; Online
-
Erschienen in:
-
Verlag:
- Neue Suche nach: Springer
-
Erscheinungsort:Cham
-
Erscheinungsdatum:2022
-
ISBN:
-
Medientyp:Aufsatz (Konferenz)
-
Format:Print
-
Sprache:Englisch
- Neue Suche nach: 54.72
- Weitere Informationen zu Basisklassifikation
-
Schlagwörter:
-
Klassifikation:
BKL: 54.72 Künstliche Intelligenz -
Datenquelle:
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
-
Learning to OptimizeBremer, Jörg et al. | 2022
- 21
-
Optimal Seating Assignment in the COVID-19 Era via Quantum ComputingGioda, Maria / Caputo, Davide / Fadda, Edoardo / Manerba, Daniele / Fernández, Blanca Silva / Tadei, Roberto et al. | 2022
- 39
-
Hybrid Ant Colony Optimization Algorithms—Behaviour Investigation Based on Intuitionistic Fuzzy LogicFidanova, Stefka / Ganzha, Maria / Roeva, Olympia et al. | 2022
- 61
-
Scheduling Algorithms for Single Machine Problem with Release and Delivery TimesGrigoreva, Natalia et al. | 2022
- 79
-
Key Performance Indicators to Improve e-Mail Service Quality Through ITIL FrameworkKirilov, Leoneed / Mitev, Yasen et al. | 2022
- 95
-
Contemporary Bioprocesses Control Algorithms for Educational PurposesLyubenova, Velislava / Ignatova, Maya / Roeva, Olympia et al. | 2022
- 111
-
Monitoring a Fleet of Autonomous Vehicles Through A* Like Algorithms and Reinforcement LearningBaiou, Mourad / Mombelli, Aurelien / Quilliot, Alain et al. | 2022
- 135
-
Rather “Good In, Good Out” Than “Garbage In, Garbage Out”: A Comparison of Various Discrete Subsampling Algorithms Using COVID-19 Data Without a Response VariableŠtěpánek, Lubomír / Habarta, Filip / Malá, Ivana / Marek, Luboš et al. | 2022
- 161
-
Using Temporal Dummy Players in Cost-Sharing GamesDadush, Ofek / Tamir, Tami et al. | 2022
- 187
-
Index-Matrix Interpretation of a Two-Stage Three-Dimensional Intuitionistic Fuzzy Transportation ProblemTraneva, Velichka / Tranev, Stoyan et al. | 2022
- 215
-
Application of an Interval-Valued Intuitionistic Fuzzy Decision-Making Method in Outsourcing Using a Software ProgramTraneva, Velichka / Tranev, Stoyan / Mavrov, Deyan et al. | 2022
- 233
-
Combinatorial Etudes and Number TheoryStoenchev, Miroslav / Todorov, Venelin et al. | 2022
- 257
-
Multicriteria Optimization of an Algorithm for Charging Energy Storage ElementsKishkin, Krasimir / Arnaudov, Dimitar / Todorov, Venelin et al. | 2022
- 267
-
Optimized Nano Grid Approach for Small Critical LoadsTodorov, Daniel / Todorov, Venelin et al. | 2022
- 277
-
Optimized Monte Carlo Methods for Sensitivity Analysis for Large-Scale Air Pollution ModelTodorov, Venelin / Dimov, Ivan / Fidanova, Stefka / Ostromsky, Tzvetan / Georgieva, Rayna et al. | 2022
- 289
-
On a Full Monte Carlo Approach to Computational FinanceTodorov, Venelin et al. | 2022
- 303
-
Advanced Monte Carlo Methods to Neural NetworksTodorov, Venelin et al. | 2022
- 315
-
An Efficient Adaptive Monte Carlo Approach for Multidimensional Quantum MechanicsTodorov, Venelin / Dimov, Ivan et al. | 2022
- 333
-
An Overview of Lattice and Adaptive Approaches for Multidimensional IntegralsTodorov, Venelin et al. | 2022
- 349
-
Advanced Biased Stochastic Approach for Solving Fredholm Integral EquationsTodorov, Venelin / Dimov, Ivan / Georgieva, Rayna et al. | 2022
- 373
-
Improving Performance of Low-Cost Sensors Using Machine Learning Calibration with a 2-Step ModelZhivkov, Petar et al. | 2022