Results 111 to 120 of about 13,519,689 (294)

Tree–Hillclimb Search: An Efficient and Interpretable Threat Assessment Method for Uncertain Battlefield Environments

Entropy
In uncertain battlefield environments, rapid and accurate detection, identification of hostile targets, and assessment of threat levels are crucial for supporting effective decision-making.
Zuoxin Zeng, Jinye Peng, Qi Feng
doaj   +1 more source

Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks

Entropy, 2016
We present an information-theoretic method permitting one to find structure in a problem space (here, in a spatial navigation domain) and cluster it in ways that are convenient to solve different classes of control problems, which include planning a path
Domenico Maisto, Francesco Donnarumma, Giovanni Pezzulo   +2 more
doaj   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

Learning dynamic cognitive map with autonomous navigation

Frontiers in Computational Neuroscience
Inspired by animal navigation strategies, we introduce a novel computational model to navigate and map a space rooted in biologically inspired principles.
Daria de Tinguy, Tim Verbelen, Bart Dhoedt   +2 more
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Smoothness and Structure Learning by Proxy

Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, 2012
As data sets grow in size, the ability of learning methods to find structure in them is increasingly hampered by the time needed to search the large spaces of possibilities and generate a score for each that takes all of the observed data into account.
Benjamin Yackley, Terran Lane
openaire   +4 more sources

A nationwide student survey on biochemistry learning resources in Italy

FEBS Open Bio, EarlyView.
We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti, Ivano Eberini, Maria Luisa Genova, Francesca Mensitieri, Francesco Malatesta   +4 more
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm

Mathematics
A Bayesian network offers powerful knowledge representations for independence, conditional independence and causal relationships among variables in a given domain. Despite its wide application, the detection limits of modern measurement technologies make
Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang   +3 more
doaj   +1 more source