Results 201 to 210 of about 17,602 (258)

Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise

, 2014
Jiangchuan Zheng, Siyuan Liu, Lionel M. Ni   +2 more
openalex   +2 more sources

Multi‐Scale Spatio‐Temporal Transformer Network for Intelligent Healthcare and Transportation Systems: A Generative AI Approach

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Integrating healthcare systems with intelligent transportation networks represents a critical frontier in modern urban infrastructure, where efficient resource allocation and timely service delivery can significantly impact patient outcomes.
Huamao Jiang, Byung‐Gyu Kim, Chien‐Ming Chen, Keqin Li, Jianhui Lv   +4 more
wiley   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

Physics Informed Bayesian Machine Learning of Sparse and Imperfect Nuclear Data [PDF]

Jiaming Liu, Yang Su, N. C. Shu, Y. J. Chen, J. C. Pei   +4 more
openalex  

Matrix Completion from Quantized Samples Via Generalized Sparse Bayesian Learning

Jiang Zhu, Zhennan Liu, Qi Zhang
openalex   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Exploring the Associations Between Affective and Non‐Affective Cognitive Domains in Mood Disorders and Healthy Controls Using Network Analysis

Acta Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Cognitive impairment is a core feature of mood disorders that contributes to reduced functioning and poorer prognosis, thereby emerging as an important treatment target. Persistent trait‐related impairments present within both affective and non‐affective cognition. Nevertheless, the relationship between affective and non‐affective
Hanne Lie Kjærstad, Astrid Endrup Iversen, Maj Vinberg, Lars Vedel Kessing, Jeff Zarp, Kamilla Woznica Miskowiak   +5 more
wiley   +1 more source

Learning with Sparsely Permuted Data: A Robust Bayesian Approach [PDF]

Abhisek Chakraborty, Saptati Datta
openalex   +1 more source

Complementarity in alliances: How strategic compatibility and hierarchy promote efficient cooperation in international security

American Journal of Political Science, EarlyView.
Abstract How can defense alliances reap the efficiency gains of working together when coordination and opportunism costs are high? Although specializing as part of a collective comes with economic and functional benefits, states must bargain over the distribution of those gains and ensure the costs of collective action are minimized.
J. Andrés Gannon
wiley   +1 more source

The effect of real‐news party cues

American Journal of Political Science, EarlyView.
Abstract News media routinely offer cues about the stances of party elites, but to what extent do these cues shape the policy opinions of the public? While numerous experiments find that partisans adopt the stances of their leaders, these findings may not generalize easily to the context of real news, which often contains richer policy information and ...
Rasmus Skytte
wiley   +1 more source