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These possibilities were evaluated in a cuing experiment in which the cues consisted of either pictures or their labels and the targets consisted of related words. Modality and cue presence-absence during the study trial were manipulated along with preexperimental measured-meaning set size and cue-...
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The use of machine learning is becoming increasingly common in computational materials science. To build effective models of the chemistry of materials, useful machine-based representations of atoms and their compounds are required. We derive distributed
For example, you can to perform nearest-neighbor and point-in-triangle searches. It allows you to edit the triangulation to add, move, or remove points. It allows you to create constrained Delaunay triangulations. This allows you to create a triangulation for a 2-D domain....
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and growth monitoring of crops in the field. We will not discuss the construction of virtual plant models where obtaining accurate or realistic 3D representations is a goal by itself. Nevertheless, many of the techniques used in that area can be applied for phenotyping as well. An outline of ...
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings - stanfordnlp/GloVe
Learning materials commonly comprise differently coded external representations, such as texts, formulas, and diagrams, in order to encourage learning in various ways. For instance, learners can retrieve information either verbally or visually according to their individual preferences (e.g., Winn, 1987...
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)FRQI, (I)NEQR, MCRQI, and (I)NCQI. The proposed QPIXL framework results in more efficient circuit implementations...