Results 211 to 220 of about 17,602 (258)

High-Resolution Identification of Sound Sources Based on Sparse Bayesian Learning with Grid Adaptive Split Refinement [PDF]

Wei Pan, Daofang Feng, Youtai Shi, Yan Chen, Min Li   +4 more
openalex   +1 more source

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free‐text descriptions and trait ratings

British Journal of Psychology, EarlyView.
Abstract First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits.
Alex L. Jones, Victor Shiramizu, Benedict C. Jones   +2 more
wiley   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

British Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source

Denialist vs. warmist climate change conspiracy beliefs: Ideological roots, psychological correlates and environmental implications

British Journal of Psychology, EarlyView.
Abstract In the current research, we use network analysis to examine the structure, ideological foundations and correlates of climate change conspiracy theories, distinguishing between denialist and warmist beliefs. Denialist beliefs, typically endorsed on the political right, claim that climate change is exaggerated, whereas warmist beliefs, more ...
Dylan de Gourville, Karen M. Douglas, Robbie M. Sutton   +2 more
wiley   +1 more source

Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors. [PDF]

J Am Med Inform Assoc
Li KM, Reps JM, Nishimura A, Schuemie MJ, Suchard MA.   +4 more
europepmc   +1 more source

Low Complexity Sparse Bayesian Learning for Channel Estimation Using Generalized Mean Field

, 2014
Niels Lovmand Pedersen, Carles Navarro Manchón, Bernard H. Fleury   +2 more
openalex   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Data-driven discovery of digital twins in biomedical research. [PDF]

Brief Bioinform
Métayer C, Ballesta A, Martinelli J.
europepmc   +1 more source