Search results
Results from the WOW.Com Content Network
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 ...
Lê Viết Quốc (born 1982), [1] or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with others from Google. He co-invented the doc2vec [2] and seq2seq [3] models in natural language processing.
The Vietnamese Wikipedia (Vietnamese: Wikipedia tiếng Việt) is the Vietnamese-language edition of Wikipedia, a free, publicly editable, online encyclopedia supported by the Wikimedia Foundation. Like the rest of Wikipedia, its content is created and accessed using the MediaWiki wiki software.
Following the increasing of Internet usage in Vietnam, many online encyclopedias were published. The two largest online Vietnamese-language encyclopedias are Từ điển bách khoa toàn thư Việt Nam, a state encyclopedia, and Vietnamese Wikipedia, a project of the Wikimedia Foundation.
Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend ...
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.
Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures. The terms hypothetical variables or hypothetical constructs may be used in these situations. The use of latent variables can serve to reduce the dimensionality of data. Many observable variables can be aggregated in a model ...
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. [ 1 ] Each agent is motivated by its own rewards, and does actions to advance its own interests; in some environments these interests are opposed to the ...