A Deep-Learned Embedding Technique for Categorical Features Encoding
IEEE Access, 2021 Many machine learning algorithms and almost all deep learning architectures are incapable of processing plain texts in their raw form. This means that their input to the algorithms must be numerical in order to solve classification or regression problems.
Mwamba Kasongo Dahouda, I. Joe
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You can go your own way: effectiveness of participant-driven versus experimenter-driven processing strategies in memory training and transfer [PDF]
, 2015 Cognitive training programs that instruct specific strategies frequently show limited transfer. Open-ended approaches can achieve greater transfer, but may fail to benefit many older adults due to age deficits in self-initiated processing.
Flegal, Kristin E., Lustig, Cindy
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Nature Methods, 2012 The second, genome-wide phase of the Encyclopedia of DNA Elements (ENCODE) project is being reported.
openaire +3 more sources
Auto-Encoding Scene Graphs for Image Captioning [PDF]
Computer Vision and Pattern Recognition, 2018 We propose Scene Graph Auto-Encoder (SGAE) that incorporates the language inductive bias into the encoder-decoder image captioning framework for more human-like captions.
Xu Yang +3 more
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A Code Division Design Strategy for Multiplexing Fiber Bragg Grating Sensing Networks
Sensors, 2017 In this paper, an encoding strategy is used to design specialized fiber Bragg grating (FBG) sensors. The encoding of each sensor requires two binary codewords to define the amplitude and phase patterns of each sensor.
Andrés Triana +2 more
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Differential medial temporal lobe morphometric predictors of item- and relational-encoded memories in healthy individuals and in individuals with mild cognitive impairment and Alzheimer's disease. [PDF]
, 2017 INTRODUCTION:Episodic memory processes are supported by different subregions of the medial temporal lobe (MTL). In contrast to a unitary model of memory recognition supported solely by the hippocampus, a current model suggests that item encoding engages ...
Conejero-Goldberg, Concepcion +7 more
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Semantic role labeling (SRL) is the task of identifying the predicate-argument structure of a sentence. It is typically regarded as an important step in the standard NLP pipeline.
Diego Marcheggiani, Ivan Titov
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Antagonism in olfactory receptor neurons and its implications for the perception of odor mixtures
eLife, 2018 Natural environments feature mixtures of odorants of diverse quantities, qualities and complexities. Olfactory receptor neurons (ORNs) are the first layer in the sensory pathway and transmit the olfactory signal to higher regions of the brain.
Gautam Reddy +3 more
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A Taxonomy of Attacks on Privacy-Preserving Record Linkage
The Journal of Privacy and Confidentiality, 2022 Record linkage is the process of identifying records that corresponds to the same real-world entities across different databases. Due to the absence of unique entity identifiers, record linkage is often based on quasi-identifying values of entities ...
Anushka Vidanage +3 more
doaj
Adult neurogenesis modifies excitability of the dentate gyrus
Frontiers in Neural Circuits, 2013 Adult-born dentate granule neurons contribute to memory encoding functions of the dentate gyrus (DG) such as pattern separation. However, local circuit-mechanisms by which adult-born neurons partake in this process are poorly understood. Computational,
Taruna eIkrar +10 more
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