Results 21 to 30 of about 273,415 (267)

ALGORITHMS FOR DYNAMICAL FERMIONS [PDF]

open access: yesPerspectives in Lattice QCD, 2007
This is the write-up of three lectures on algorithms for dynamical fermions that were given at the ILFTN workshop 'Perspectives in Lattice QCD' in Nara during November 2005. The first lecture is on the fundamentals of Markov Chain Monte Carlo methods and introduces the Hybrid Monte Carlo (HMC) algorithm and symplectic integrators; the second lecture ...
openaire   +2 more sources

Efficient Currency Determination Algorithms for Dynamic Data

open access: yesTsinghua Science and Technology, 2017
Data quality is an important aspect in data application and management, and currency is one of the major dimensions influencing its quality. In real applications, datasets timestamps are often incomplete and unavailable, or even absent.
Xiaoou Ding   +4 more
doaj   +1 more source

Dynamic Algorithms for the Dyck Languages

open access: yesBRICS Report Series, 1995
We study dynamic membership problems for the Dyck languages,<br />the class of strings of properly balanced parentheses. We also study the Dynamic Word problem for the free group. We present deterministic algorithms and data structures which maintain a string under replacements of symbols, insertions, and deletions of symbols, and language ...
Frandsen, Gudmund Skovbjerg   +4 more
openaire   +3 more sources

Performance of Multi-Armed Bandit Algorithms in Dynamic vs. Static Environments: A Comparative Analysis [PDF]

open access: yesITM Web of Conferences
This paper conducts a comparative analysis of Multi-Armed Bandit (MAB) algorithms, particularly the Upper Confidence Bound (UCB) and Thompson Sampling (TS) algorithms, and focuses on the performance of these algorithms in both static and dynamic ...
Zhao Boxi
doaj   +1 more source

Chaotic Artificial Bee Colony algorithm based on memory for solving dynamic optimization problems [PDF]

open access: yesمجله مدل سازی در مهندسی, 2017
Artificial Bee Colony Algorithm(ABC) is one of the swarm intelligence optimization algorithms that is extensively used for the goals and applications static. Many practical, real-world applications, nevertheless, are dynamic.
majid mohammadpour, hamid parvin
doaj   +1 more source

Automated Dynamic Algorithm Configuration

open access: yesJournal of Artificial Intelligence Research, 2022
The performance of an algorithm often critically depends on its parameter configuration. While a variety of automated algorithm configuration methods have been proposed to relieve users from the tedious and error-prone task of manually tuning parameters, there is still a lot of untapped potential as the learned configuration is static, i.e., parameter ...
Steven Adriaensen   +6 more
openaire   +3 more sources

Dynamic Multi Threshold Priority Packet Scheduling Algorithms

open access: yesMATEC Web of Conferences, 2016
Packet scheduling algorithms are developed in order to use shared transmission resources efficiently. Various application packets such as real and non-real time packets might have different QoS requirements and traditional scheduling algorithms might be ...
Dag Tamer, Uzungenc Sezer
doaj   +1 more source

Dynamic Programming Algorithms in Speech Recognition [PDF]

open access: yesInformatică economică, 2008
In a system of speech recognition containing words, the recognition requires the comparison between the entry signal of the word and the various words of the dictionary.
Titus Felix FURTUNA
doaj  

RWA: Optical Networks with Heuristics Algorithms

open access: yesDyna, 2016
The increase in demand for data transport through WDM (Wavelength Division Multiplexing) networks has led to the emerging problems related to finding routes and assigning wavelengths in these networks, which are solved through algorithmic processes ...
Arturo Benito Rodríguez Garcia   +2 more
doaj   +1 more source

State of the Art of Adaptive Dynamic Programming and Reinforcement Learning

open access: yesCAAI Artificial Intelligence Research, 2022
This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning (ADPRL). First, algorithms in reinforcement learning (RL) are introduced and their roots in dynamic programming are illustrated.
Derong Liu, Mingming Ha, Shan Xue
doaj   +1 more source

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