Results 41 to 50 of about 1,303 (127)
Multi-armed bandit-based adaptive control of advertising in social networks
In a rapidly changing marketing environment, to ensure the success of an advertising campaign, it is necessary to minimize the time from the idea of advertising to the implementation of communication.
О. Shtovba
doaj +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Photonic Ising Machine Using Parallel Bandit Architecture Based on Laser Chaos
Photonic computing has emerged as a transformative technology for overcoming the fundamental limitations of semiconductor technology. Among recent advancements, the laser chaos decision maker has been introduced for ultrafast decision making by ...
Ryota Yasudo +2 more
doaj +1 more source
Optimizing Ad Recommendations Using A Bayesian Multi-Armed Bandit Approach [PDF]
The contextual multi-armed bandit problem in online advertising recommendation represents a core challenge in recommender systems. Traditional approaches, including Linear Upper Confidence Bound (LinUCB) and Feature-based Collaborative Filtering ...
Zeng Yijian
doaj +1 more source
Strategic Adaptation in Shifting Landscapes: A Paradox‐Theoretic and Computational Perspective
ABSTRACT Organizations must simultaneously exploit current competencies and explore new opportunities—yet theory offers limited guidance on when each strategic logic dominates and under what combination of environmental conditions ambidexterity is warranted.
Javad Feiz Abadi
wiley +1 more source
RAAS: Runtime Adaptive Approximation System
ABSTRACT Software‐level approximation techniques, such as loop perforation and functional replacement, can improve energy and performance in error‐tolerant applications, but typically require extensive programmer intervention even when compiler support is available.
Lucas Reis, Sandro Rigo, Lucas Wanner
wiley +1 more source
Application of Multi-Armed Bandit Algorithm in Quantitative Finance [PDF]
The volatility and diversity of financial markets make it challenging for a single portfolio achieve better returns, therefore, adjustable portfolios based on the risk tolerance of clients are highly demanded.
Chen Chengxun +3 more
doaj +1 more source
Dynamic Pipeline Scheduling for Hybrid Edge Collaboration in Multi‐Modal LLM Inference
A hybrid edge‐collaboration paradigm is proposed that combines in‐device NPU/DLA–GPU co‐inference with across‐device model‐parallel pipelines to accelerate Multi‐modal Large Language Model inference. A UCB‐based dynamic scheduling algorithm maximizes system throughput while meeting latency constraints, achieving significant speedups over single‐device ...
He Li
wiley +1 more source
The contested dynamics of slum gentrification in Rio de Janeiro came into focus during the brief period of relative peace brought by the pacification policy leading up to the 2016 Olympics. In this unprecedented moment, Rio's South Zone favela residents experienced a respite from the daily confrontations with police operations and drug trade violence ...
Angela Torresan
wiley +1 more source
Dynamic Pricing With Recommendation and Consumer Feedback
ABSTRACT A long‐lived seller sells a new product of unknown value by offering prices and recommendations to short‐lived consumers in continuous time. The seller receives consumer feedback about the product at a rate that increases with the instantaneous sales volume.
Wenji Xu, Shuoguang Yang
wiley +1 more source

