Results 31 to 40 of about 8,739,015 (304)

Representation Learning for Spatial Graphs

CoRR, 2018
4 pages, 1 figure ...
Zheng Wang 0046, Ce Ju, Gao Cong, Cheng Long 0001   +3 more
openaire   +2 more sources

The Case for Learned Spatial Indexes

CoRR, 2020
Spatial data is ubiquitous. Massive amounts of data are generated every day from billions of GPS-enabled devices such as cell phones, cars, sensors, and various consumer-based applications such as Uber, Tinder, location-tagged posts in Facebook, Twitter, Instagram, etc.
Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding 0001, Alfons Kemper   +5 more
openaire   +3 more sources

Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning

INTERSPEECH 2023, 2023
We present Spatial LibriSpeech, a spatial audio dataset with over 650 hours of 19-channel audio, first-order ambisonics, and optional distractor noise. Spatial LibriSpeech is designed for machine learning model training, and it includes labels for source position, speaking direction, room acoustics and geometry.
Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer   +9 more
openaire   +2 more sources

Learned Spatial Schemas and Prospective Hippocampal Activity Support Navigation After One-Shot Learning

Frontiers in Human Neuroscience, 2018
Prior knowledge structures (or schemas) confer multiple behavioral benefits. First, when we encounter information that fits with prior knowledge structures, this information is generally better learned and remembered.
Marlieke T. R. van Kesteren, Marlieke T. R. van Kesteren, Thackery I. Brown, Thackery I. Brown, Anthony D. Wagner   +4 more
doaj   +1 more source

Spatial learning in pigs: effects of environmental enrichment and individual characteristics on behaviour and performance [PDF]

, 2009
Contains fulltext : 77372.pdf (Publisher’s version ) (Closed access)This study investigated the effects of both environmental enrichment and individual behavioural characteristics on spatial cognitive capabilities of pigs, using a novel
Jarno Jansen, J. Elizabeth Bolhuis, Schouten, W.G.P., Spruijt, B.M., Willem G. P. Schouten, Wiegant, V.M., Bolhuis, J.E., Berry M. Spruijt, Jansen, J., Victor M. Wiegant   +9 more
core   +2 more sources

WAG/Rij ve Sprague Dawley Sıçanlarında Hafıza ve Öğrenme: “Irksal Deneyimin” Özellikle Epilepsi Yatkınlığının Üzerindeki Etkisinin Araştırılması

Laboratuvar Hayvanları Bilimi ve Uygulamaları Dergisi
Bu araştırma, genetik varyasyonların sıçanlarda öğrenmeyi, kısa süreli hafızayı ve uzun süreli hafızayı nasıl etkilediğini araştırmayı amaçlamıştır. Özellikle, doğal olarak epilepsiye yatkın olan WAG/Rij (WR) sıçanlarını Sprague-Dawley (SD) sıçanlarıyla ...
Burcu Çevreli, Öznur Özge Özcan
doaj   +1 more source

Expanding the notion of global learning: Turkish-Dutch teens’ networked configurations for learning [PDF]

, 2020
Digital technology facilitate interactions between learners and resources at a global level. New learner prototypes are therefore proposed, such as the notion of the global learner.
Ünlüsoy, Asli, de Haan, M.J., Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, de Haan, Mariëtte, Ünlüsoy, A.   +5 more
core   +2 more sources

Spatial Big Data for Human-Computer Interaction

, 2018
The importance of spatial data for the area of human-computer interaction is discussed in this vision paper as well as how machine learning and spatial big data can be utilized for optimizing and adapting the interaction modalities in outdoor spaces ...
Giannopoulos, Ioannis
core   +4 more sources

Deletion of p75NTR rescues the synaptic but not the inflammatory status in the brain of a mouse model for Alzheimer’s disease

Frontiers in Molecular Neuroscience, 2023
IntroductionAlzheimer’s disease (AD), is characterized by a gradual cognitive decline associated with the accumulation of Amyloid beta (Aβ)-oligomers, progressive neuronal degeneration and chronic neuroinflammation.
Hendrik Demuth, Hendrik Demuth, Shirin Hosseini, Shirin Hosseini, Henning Peter Düsedeau, Ildiko Rita Dunay, Ildiko Rita Dunay, Martin Korte, Martin Korte, Marta Zagrebelsky   +9 more
doaj   +1 more source

The spatially conscious machine learning model [PDF]

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2019
AbstractSuccessfully predicting gentrification could have many social and commercial applications; however, real estate sales are difficult to predict because they belong to a chaotic system comprised of intrinsic and extrinsic characteristics, perceived value, and market speculation.
Timothy J. Kiely, Nathaniel D. Bastian
openaire   +4 more sources