keyword
MENU ▼
Read by QxMD icon Read
search

representational learning

keyword
https://www.readbyqxmd.com/read/29352580/individual-student-characteristics-and-attainment-in-pre-registration-physiotherapy-a-retrospective-multi-site-cohort-study
#1
Meriel Norris, John A Hammond, Annabel Williams, Robert Grant, Sandra Naylor, Catherine Rozario
INTRODUCTION: Worldwide there is a desire to diversify the physiotherapy workforce. However, limited research indicates that some student characteristics linked to under-representation in pre registration physiotherapy education have lower attainment and greater attrition. This study explored the relationship between individual characteristics and success of students in pre registration physiotherapy education within South East England. DESIGN: A retrospective multi site cohort study including pre registration physiotherapy programmes in the South East of England...
October 31, 2017: Physiotherapy
https://www.readbyqxmd.com/read/29352185/genetic-fingerprinting-of-salmon-louse-lepeophtheirus-salmonis-populations-in-the-north-east-atlantic-using-a-random-forest-classification-approach
#2
A Jacobs, M De Noia, K Praebel, Ø Kanstad-Hanssen, M Paterno, D Jackson, P McGinnity, A Sturm, K R Elmer, M S Llewellyn
Caligid sea lice represent a significant threat to salmonid aquaculture worldwide. Population genetic analyses have consistently shown minimal population genetic structure in North Atlantic Lepeophtheirus salmonis, frustrating efforts to track louse populations and improve targeted control measures. The aim of this study was to test the power of reduced representation library sequencing (IIb-RAD sequencing) coupled with random forest machine learning algorithms to define markers for fine-scale discrimination of louse populations...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29351910/visual-literacy-in-bloom-using-bloom-s-taxonomy-to-support-visual-learning-skills
#3
Jessie B Arneson, Erika G Offerdahl
Vision and Change identifies science communication as one of the core competencies in undergraduate biology. Visual representations are an integral part of science communication, allowing ideas to be shared among and between scientists and the public. As such, development of scientific visual literacy should be a desired outcome of undergraduate instruction. We developed the Visualization Blooming Tool (VBT), an adaptation of Bloom's taxonomy specifically focused on visual representations, to aid instructors in designing instruction and assessments to target scientific visual literacy in undergraduate instruction...
2018: CBE Life Sciences Education
https://www.readbyqxmd.com/read/29351909/arrows-in-biology-lack-of-clarity-and-consistency-points-to-confusion-for-learners
#4
L Kate Wright, Jordan J Cardenas, Phyllis Liang, Dina L Newman
In this article, we begin to unpack the phenomenon of representational competence by exploring how arrow symbols are used in introductory biology textbook figures. Out of 1214 figures in an introductory biology textbook, 632 (52%) of them contained arrows that were used to represent many different concepts or processes. Analysis of these figures revealed little correlation between arrow style and meaning. A more focused study of 86 figures containing 230 arrows from a second textbook showed the same pattern of inconsistency...
December 1, 2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/29351908/enhancing-conceptual-knowledge-of-energy-in-biology-with-incorrect-representations
#5
Ulrike Wernecke, Kerstin Schütte, Julia Schwanewedel, Ute Harms
Energy is an important concept in all natural sciences, and a challenging one for school science education. Students' conceptual knowledge of energy is often low, and they entertain misconceptions. Educational research in science and mathematics suggests that learning through depictive representations and learning from errors, based on the theory of negative knowledge, can potentially foster students' knowledge of abstract concepts such as energy. Thus, we propose here an instructional approach that combines these two strategies to foster conceptual knowledge of energy...
2018: CBE Life Sciences Education
https://www.readbyqxmd.com/read/29347716/inferring-low-dimensional-microstructure-representations-using-convolutional-neural-networks
#6
Nicholas Lubbers, Turab Lookman, Kipton Barros
We apply recent advances in machine learning and computer vision to a central problem in materials informatics: the statistical representation of microstructural images. We use activations in a pretrained convolutional neural network to provide a high-dimensional characterization of a set of synthetic microstructural images. Next, we use manifold learning to obtain a low-dimensional embedding of this statistical characterization. We show that the low-dimensional embedding extracts the parameters used to generate the images...
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347705/exploring-cluster-monte-carlo-updates-with-boltzmann-machines
#7
Lei Wang
Boltzmann machines are physics informed generative models with broad applications in machine learning. They model the probability distribution of an input data set with latent variables and generate new samples accordingly. Applying the Boltzmann machines back to physics, they are ideal recommender systems to accelerate the Monte Carlo simulation of physical systems due to their flexibility and effectiveness. More intriguingly, we show that the generative sampling of the Boltzmann machines can even give different cluster Monte Carlo algorithms...
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347591/reconstruction-of-three-dimensional-porous-media-using-generative-adversarial-neural-networks
#8
Lukas Mosser, Olivier Dubrule, Martin J Blunt
To evaluate the variability of multiphase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feasible. We present a method to reconstruct the solid-void structure of porous media by applying a generative neural network that allows an implicit description of the probability distribution represented by three-dimensional image data sets...
October 2017: Physical Review. E
https://www.readbyqxmd.com/read/29346638/standardized-languages-and-notations-for-graphical-modelling-of-patient-care-processes-a-systematic-review
#9
Pierpaolo Mincarone, Carlo Giacomo Leo, Maria Del Mar Trujillo-Martín, Jan Manson, Roberto Guarino, Giuseppe Ponzini, Saverio Sabina
Purpose: The importance of working toward quality improvement in healthcare implies an increasing interest in analysing, understanding and optimizing process logic and sequences of activities embedded in healthcare processes. Their graphical representation promotes faster learning, higher retention and better compliance. The study identifies standardized graphical languages and notations applied to patient care processes and investigates their usefulness in the healthcare setting. Data sources: Peer-reviewed literature up to 19 May 2016...
January 16, 2018: International Journal for Quality in Health Care
https://www.readbyqxmd.com/read/29346101/stacked-denoising-tensor-auto-encoder-for-action-recognition-with-spatiotemporal-corruptions
#10
Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu
Spatially or temporally corrupted action videos are impractical for recognition via vision or learning models. It usually happens when streaming data are captured from unintended moving cameras, which bring occlusion or camera vibration and accordingly result in arbitrary loss of spatiotemporal information. In reality, it is intractable to deal with both spatial and temporal corruptions at the same time. In this paper, we propose a coupled stacked denoising tensor auto-encoder (CSDTAE) model, which approaches this corruption problem in a divide-and-conquer fashion by jointing both the spatial and temporal schemes together...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29346018/the-tortoise-and-the-hare-interactions-between-reinforcement-learning-and-working-memory
#11
Anne G E Collins
Learning to make rewarding choices in response to stimuli depends on a slow but steady process, reinforcement learning, and a fast and flexible, but capacity-limited process, working memory. Using both systems in parallel, with their contributions weighted based on performance, should allow us to leverage the best of each system: rapid early learning, supplemented by long-term robust acquisition. However, this assumes that using one process does not interfere with the other. We use computational modeling to investigate the interactions between the two processes in a behavioral experiment and show that working memory interferes with reinforcement learning...
January 18, 2018: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29340773/feature-codes-in-implicit-sequence-learning-perceived-stimulus-locations-transfer-to-motor-response-locations
#12
Hilde Haider, Sarah Esser, Katharina Eberhardt
An important question in implicit sequence learning research is how the learned information is represented. In earlier models, the representations underlying implicit learning were viewed as being either purely motor or perceptual. These different conceptions were later integrated by multidimensional models such as the Dual System Model of Keele et al. (Psychol Rev 110(2):316-339, 2003). According to this model, different types of sequential information can be learned in parallel, as long as each sequence comprised only one single dimension (e...
January 16, 2018: Psychological Research
https://www.readbyqxmd.com/read/29339558/does-sleep-facilitate-the-consolidation-of-allocentric-or-egocentric-representations-of-implicitly-learned-visual-motor-sequence-learning
#13
Jeremy Viczko, Valya Sergeeva, Laura B Ray, Adrian M Owen, Stuart M Fogel
Sleep facilitates the consolidation (i.e., enhancement) of simple, explicit (i.e., conscious) motor sequence learning (MSL). MSL can be dissociated into egocentric (i.e., motor) or allocentric (i.e., spatial) frames of reference. The consolidation of the allocentric memory representation is sleep-dependent, whereas the egocentric consolidation process is independent of sleep or wake for explicit MSL. However, it remains unclear the extent to which sleep contributes to the consolidation of implicit (i.e., unconscious) MSL, nor is it known what aspects of the memory representation (egocentric, allocentric) are consolidated by sleep...
February 2018: Learning & Memory
https://www.readbyqxmd.com/read/29331250/inferred-joint-multigram-models-for-medical-term-normalization-according-to-icd
#14
Alicia Pérez, Aitziber Atutxa, Arantza Casillas, Koldo Gojenola, Álvaro Sellart
BACKGROUND: Electronic Health Records (EHRs) are written using spontaneous natural language. Often, terms do not match standard terminology like the one available through the International Classification of Diseases (ICD). OBJECTIVE: Information retrieval and exchange can be improved using standard terminology. Our aim is to render diagnostic terms written in spontaneous language in EHRs into the standard framework provided by the ICD. METHODS: We tackle diagnostic term normalization employing Weighted Finite-State Transducers (WFSTs)...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29330497/visual-learning-with-reduced-adaptation-is-eccentricity-specific
#15
Hila Harris, Dov Sagi
Visual learning is known to be specific to the trained target location, showing little transfer to untrained locations. Recently, learning was shown to transfer across equal-eccentricity retinal-locations when sensory adaptation due to repetitive stimulation was minimized. It was suggested that learning transfers to previously untrained locations when the learned representation is location invariant, with sensory adaptation introducing location-dependent representations, thus preventing transfer. Spatial invariance may also fail when the trained and tested locations are at different distance from the center of gaze (different retinal eccentricities), due to differences in the corresponding low-level cortical representations (e...
January 12, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29329435/expanding-a-radiology-lexicon-using-contextual-patterns-in-radiology-reports
#16
Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel Rubin, Russ B Altman, Curtis P Langlotz
Objective: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lexicon expansion in a clinical domain, radiology, by unearthing synonyms from the corpus. Materials and Methods: We apply word2vec, a distributional semantics software package, to the text of radiology notes to identify synonyms for RadLex, a structured lexicon of radiology terms...
January 10, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29327331/calibration-of-peripheral-perception-of-shape-with-and-without-saccadic-eye-movements
#17
Céline Paeye, Thérèse Collins, Patrick Cavanagh, Arvid Herwig
The cortical representations of a visual object differ radically across saccades. Several studies claim that the visual system adapts the peripheral percept to better match the subsequent foveal view. Recently, Herwig, Weiß, and Schneider (2015, Annals of the New York Academy of Sciences, 1339(1), 97-105) found that the perception of shape demonstrates a saccade-dependent learning effect. Here, we ask whether this learning actually requires saccades. We replicated Herwig et al.'s (2015) study and introduced a fixation condition...
January 11, 2018: Attention, Perception & Psychophysics
https://www.readbyqxmd.com/read/29327266/social-targets-improve-body-based-and-environment-based-strategies-during-spatial-navigation
#18
Esther Kuehn, Xiaoli Chen, Pia Geise, Jan Oltmer, Thomas Wolbers
Encoding the position of another person in space is vital for everyday life. Nevertheless, little is known about the specific navigational strategies associated with encoding the position of another person in the wider spatial environment. We asked two groups of participants to learn the location of a target (person or object) during active navigation, while optic flow information, a landmark, or both optic flow information and a landmark were available in a virtual environment. Whereas optic flow information is used for body-based encoding, such as the simulation of motor movements, landmarks are used to form an abstract, disembodied representation of the environment...
January 11, 2018: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/29327117/graphical-classification-of-dna-sequences-of-hla-alleles-by-deep-learning
#19
Jun Miyake, Yuhei Kaneshita, Satoshi Asatani, Seiichi Tagawa, Hirohiko Niioka, Takashi Hirano
Alleles of human leukocyte antigen (HLA)-A DNAs are classified and expressed graphically by using artificial intelligence "Deep Learning (Stacked autoencoder)". Nucleotide sequence data corresponding to the length of 822 bp, collected from the Immuno Polymorphism Database, were compressed to 2-dimensional representation and were plotted. Profiles of the two-dimensional plots indicate that the alleles can be classified as clusters are formed. The two-dimensional plot of HLA-A DNAs gives a clear outlook for characterizing the various alleles...
January 11, 2018: Human Cell
https://www.readbyqxmd.com/read/29326274/social-place-cells-in-the-bat-hippocampus
#20
David B Omer, Shir R Maimon, Liora Las, Nachum Ulanovsky
Social animals have to know the spatial positions of conspecifics. However, it is unknown how the position of others is represented in the brain. We designed a spatial observational-learning task, in which an observer bat mimicked a demonstrator bat while we recorded hippocampal dorsal-CA1 neurons from the observer bat. A neuronal subpopulation represented the position of the other bat, in allocentric coordinates. About half of these "social place-cells" represented also the observer's own position-that is, were place cells...
January 12, 2018: Science
keyword
keyword
74784
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"