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In this case, the learning-to-rank problem is approximated by a classification problem — learning a binary classifier (,) that can tell which document is better in a given pair of documents. The classifier shall take two documents as its input and the goal is to minimize a loss function L ( h ; x u , x v , y u , v ) {\displaystyle L(h;x_{u},x ...
Quizlet made its first acquisition in March 2021, with the purchase of Slader, which offered detailed explanations of textbook concepts and practice problems, and eventually incorporated it into its paid platform, Quizlet Plus. [20] [21] [22] In November 2022, Quizlet announced a new CEO, Lex Bayer, the former CEO of Starship Technologies. [23]
Otto Rank (/ r ɑː ŋ k /; Austrian German:; né Rosenfeld; 22 April 1884 – 31 October 1939) was an Austrian psychoanalyst, writer, and philosopher.Born in Vienna, he was one of Sigmund Freud's closest colleagues for 20 years, a prolific writer on psychoanalytic themes, editor of the two leading analytic journals of the era, including Internationale Zeitschrift für Psychoanalyse ...
A ranked society in anthropology is one that ranks individuals in terms of their genealogical distance from the chief. Another term for a "ranked society" is a chiefdom. Closer relatives of the chief have higher rank or social status than more distant ones. Societies which follow this kind of structure associate rank with power, where other ...
U.S. President-elect Donald Trump said "anything can happen" when asked about the chances of going to war with Iran during his next term in an interview with Time, coinciding with his being named ...
(Reuters) - U.S. President-elect Donald Trump plans to assemble investigative teams at the Department of Justice to search for evidence in battleground states that fraud tainted the 2020 election ...
For example, if you weigh 150 pounds, that’s at least 52.5 grams of protein daily. But here’s the catch:, Building muscle requires eating significantly more protein than just maintaining the ...
An example is the prediction of linkages among entities in hyperedges of a hypergraph. In practice, to perform the aforementioned tasks, deep learning models designed for specific topological spaces must be constructed and implemented. These models, known as topological neural networks, are tailored to operate effectively within these spaces.
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