Results 111 to 120 of about 561,186 (166)

Animal Individual Factors Dictate Learning Strategy: An Integrated Analysis of Cattle Adaptation to a Virtual Fencing System. [PDF]

Animals (Basel)
Pinto S, Bodt C, Toups J, Hamidi D, Hoffmann G.   +4 more
europepmc   +1 more source

Changes, interactions, and relationships: an examination of language learning motivational system of Chinese multilingual learners. [PDF]

Front Psychol
Xu Q, Si J.
europepmc   +1 more source

Supporting the Learning of Visual Perception Skills in Cytology Through a Computational Tool: Development and Evaluation Study. [PDF]

JMIR Form Res
Keller BNS, Rezende MT, Oliveira RR, Costa CR, Carneiro CM, Campos AG.   +5 more
europepmc   +1 more source

Hierarchical Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms. [PDF]

Int J Mol Sci
Liu S, Liang B, Fang Y, Jiang Z, Xu R.
europepmc   +1 more source

Identification of novel PKR inhibitory chemotypes <i>via</i> integrated molecular modelling and machine learning. [PDF]

RSC Adv
Shakhatreh G, Taha MO, Daoud S.
europepmc   +1 more source

Discovery of novel acridine based inhibitors of Bruton's tyrosine kinase (BTK) via pharmacophore modeling and machine learning-driven virtual screening followed by molecular dynamic studies. [PDF]

J Comput Aided Mol Des
Shahin R, Jaafreh S, Mansi I, Al Zoubi R, Abu-Irmaileh B, Azzam Y, Azzam S.   +6 more
europepmc   +1 more source

Decoupling topological and molecular features for interpretable biomolecular interaction prediction. [PDF]

Brief Bioinform
Wu Q, Liu Y, Yang F, Huang W, Zhu X, Liu J.   +5 more
europepmc   +1 more source

(Inter)dependent learning: Learning is interaction

, 2006
openaire   +3 more sources

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Learning to Interact With Learning Agents

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
AI and machine learning methods are increasingly interacting with and seeking information from people, robots, and other learning agents. Consequently, the learning dynamics of these agents creates fundamentally new challenges for existing methods.
Adish Singla, Seyed Hamed Hassani, Andreas Krause 0001   +2 more
openaire   +4 more sources

Interactive online learning

Pattern Recognition and Image Analysis, 2007
This paper describes a system for visual object recognition based on mobile augmented reality gear. The user can train the system to the recognition of objects online using advanced methods of interaction with mobile systems: Hand gestures and speech input control “virtual menus,” which are displayed as overlays within the camera image.
Heidemann, Gunther, Bekel, Holger, Bax, Ingo, Ritter, Helge   +3 more
openaire   +2 more sources