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In latent learning, one changes behavior only when there is sufficient motivation later than when they subconsciously retained the information. [1] Latent learning is when the observation of something, rather than experiencing something directly, can affect later behavior. Observational learning can be many things. A human observes a behavior ...
The Vietnamese Wikipedia initially went online in November 2002, with a front page and an article about the Internet Society.The project received little attention and did not begin to receive significant contributions until it was "restarted" in October 2003 [3] and the newer, Unicode-capable MediaWiki software was installed soon after.
In Vietnamese secondary education, high schools for the gifted or specialized high schools (trường trung học phổ thông chuyên or trường THPT chuyên) are designated public schools for secondary students to express gifted potentials in natural sciences, social sciences, and/or foreign languages.
Vua tiếng Việt (lit. ' King of Vietnamese ' ) is a Vietnamese television quiz show featuring Vietnamese vocabulary and language, produced by Vietnam Television . [ 1 ] [ 2 ] The programme is aired on 8:30 pm every Friday on VTV3, starting from 10 September 2021, with the main host Nguyễn Xuân Bắc.
Từ điển bách khoa Việt Nam (lit: Encyclopaedic Dictionary of Vietnam) is a state-sponsored Vietnamese-language encyclopedia that was first published in 1995. It has four volumes consisting of 40,000 entries, the final of which was published in 2005. [1] The encyclopedia was republished in 2011.
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
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When LDA machine learning is employed, both sets of probabilities are computed during the training phase, using Bayesian methods and an Expectation Maximization algorithm. LDA is a generalization of older approach of probabilistic latent semantic analysis (pLSA), The pLSA model is equivalent to LDA under a uniform Dirichlet prior distribution.