Results 161 to 170 of about 12,601 (295)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

A Return to Biased Nets: New Specifications and Approximate Bayesian Inference. [PDF]

J Math Sociol
Butts CT.
europepmc   +1 more source

Conditional and Joint Probabilities [PDF]

A. B. Dieker, Steven T. Hackman
openalex   +1 more source

Conditional catheter‐related thrombosis free probability and risk‐adapted choices of catheter for lung cancer

, 2022
Yanfeng Wang, Chanjuan Cui, Xin Liu, Lei Deng, Ke Yang, Bin Li, Xue Jie, Junying Xie, Wei Cui   +8 more
openalex   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

The Bias-and-Expertise Model: A Bayesian Network Model of Political Source Characteristics. [PDF]

Cogn Sci
Young DJ, de-Wit LH.
europepmc   +1 more source

Conditional Expectation, Entropy, and Transport for Convex Gibbs Laws in\n Free Probability [PDF]

, 2019
David Jekel
openalex   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Strengths, Weaknesses, Opportunities, and Challenges of Conditional Cash Transfers Under the Janani Shishu Suraksha Karyakram in India: A Narrative Review. [PDF]

Cureus
Joshi U, Shah T, Gohil V, Sharma RY, Shah VR.   +4 more
europepmc   +1 more source

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. [PDF]

PLoS Comput Biol, 2023
Kumar S, Dasgupta I, Daw ND, Cohen JD, Griffiths TL.   +4 more
europepmc   +1 more source