Particle filter techniques provide a well-established methodology for generating samples from the required distribution without requiring assumptions about the state-space model or the state distributions.
32.
Articles in question : Faceted search, Faceted classification, Resource Space Model, Digital ecosystem, Cyber-physical system, Knowledge Grid, Typed link # Semantic link
33.
The Discover Studio utilizes a pop-up space model to teach emerging technologies, including 3D printing, photo and film editing, music production and audio podcasting.
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In 2013, a team at Google led by Tomas Mikolov created word2vec, a word embedding toolkit which can train vector space models faster than the previous approaches.
35.
To the legacy of the SMART system belongs the so-called SMART notation, a mnemonic scheme for denoting tf-idf weighting variants in the vector space model.
36.
This formula provides a proper velocity gyrovector space model of hyperbolic geometry that uses a whole space compared to other models of hyperbolic geometry which use discs or half-planes.
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For example, parabolic transformations are conjugate to rigid translations in the upper half-space model, and they are exactly those transformations that can be represented by unipotent upper triangular matrices.
38.
Thus, the extended Boolean model can be considered as a generalization of both the Boolean and vector space models; those two are special cases if suitable settings and definitions are employed.
39.
Along with the Klein model and the Poincar?half-space model, it was proposed by Eugenio Beltrami who used these models to show that hyperbolic geometry was equiconsistent with Euclidean geometry.
40.
Cosine similarity is a commonly used similarity measure for real-valued vectors, used in ( among other fields ) information retrieval to score the similarity of documents in the vector space model.
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