Results 31 to 40 of about 646,720 (313)
Intermolecular Non-Bonded Interactions from Machine Learning Datasets
Molecules, 2023 Accurate determination of intermolecular non-covalent-bonded or non-bonded interactions is the key to potentially useful molecular dynamics simulations of polymer systems.
Jia-An Chen, Sheng D. Chao
doaj +1 more source
Learning with Interactive Stories [PDF]
, 2008 Several frameworks and platforms are used for learning or for building virtual environments for game-based learning. In games based on virtual worlds an enormous amount of knowledge is exchanged. But we believe compared to games stories provide more explicit knowledge transfer.
Sebastian A. Weiß +1 more
openaire +1 more source
Interaction Relation Ontology Learning [PDF]
Journal of Computational Biology, 2013 Abstract Ontology is widely used in semantic computing and reasoning, and various biomedicine ontologies have become institutionalized to make the heterogeneous knowledge computationally amenable. Relation words, especially verbs, play an important role when describing the interaction between biological entities in molecular function,
Chuanxi Li +4 more
openaire +2 more sources
Learning epistatic gene interactions from perturbation screens.
PLoS ONE, 2021 The treatment of complex diseases often relies on combinatorial therapy, a strategy where drugs are used to target multiple genes simultaneously. Promising candidate genes for combinatorial perturbation often constitute epistatic genes, i.e., genes which
Kieran Elmes +5 more
doaj +1 more source
Learning in Repeated Interactions on Networks
Proceedings of the 23rd ACM Conference on Economics and Computation, 2022 We study how long‐lived, rational agents learn in a social network. In every period, after observing the past actions of his neighbors, each agent receives a private signal, and chooses an action whose payoff depends only on the state. Since equilibrium actions depend on higher‐order beliefs, it is difficult to characterize behavior.
Huang, Wanying +2 more
openaire +3 more sources
Bayesian Social Learning with Local Interactions
Games, 2010 We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents have to choose one, out of two, reversible actions, each optimal in one, out of two, unknown states of the world.
Antonella Ianni, Antonio Guarino
doaj +1 more source
Crossmodal interactions in human learning and memory
Frontiers in Human Neuroscience, 2023 Most studies of memory and perceptual learning in humans have employed unisensory settings to simplify the study paradigm. However, in daily life we are often surrounded by complex and cluttered scenes made up of many objects and sources of sensory ...
Carolyn A. Murray +2 more
doaj +1 more source
Convergences of Joint, Positive Interactions and Regulation in Collaborative Learning [PDF]
, 2019 This qualitative study explores the convergences of small groups’ joint, positive interactions and regulation in social interaction during collaborative learning.
Näykki, Piia +2 more
core +1 more source
Sensorimotor Interactions in Speech Learning
i-Perception, 2011 Auditory input is essential for normal speech development and plays a key role in speech production throughout the life span. In traditional models, auditory input plays two critical roles: 1) establishing the acoustic correlates of speech sounds that ...
Douglas M Shiller
doaj +1 more source
Interactive Learning of Pattern Rankings [PDF]
International Journal on Artificial Intelligence Tools, 2014 Pattern mining provides useful tools for exploratory data analysis. Numerous efficient algorithms exist that are able to discover various types of patterns in large datasets. Unfortunately, the problem of identifying patterns that are genuinely interesting to a particular user remains challenging. Current approaches generally require considerable data
Vladimir Dzyuba +3 more
openaire +2 more sources