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A debate raged over whether all the Office applications should have the same scrolling or zooming default, with Michelman subsequently conceding to the idea that having them all, including Excel, scroll by default would possess the greatest overall utility. Michelman was charged with organizing the software support for this new function.
It's also important to apply feature scaling if regularization is used as part of the loss function (so that coefficients are penalized appropriately). Empirically, feature scaling can improve the convergence speed of stochastic gradient descent. In support vector machines, [2] it can reduce the time to find support vectors. Feature scaling is ...
Collective (joint) factorization: factorizing multiple interrelated matrices for multiple-view learning, e.g. multi-view clustering, see CoNMF [86] and MultiNMF [87] Cohen and Rothblum 1993 problem: whether a rational matrix always has an NMF of minimal inner dimension whose factors are also rational.
A post-Christmas severe weather event put more than 10 million people at risk for damaging thunderstorms across part of the south-central United States. The area that was at risk for severe ...
Use of a user-defined function sq(x) in Microsoft Excel. The named variables x & y are identified in the Name Manager. The function sq is introduced using the Visual Basic editor supplied with Excel. Subroutine in Excel calculates the square of named column variable x read from the spreadsheet, and writes it into the named column variable y.
WASHINGTON (Reuters) -A group of 16 states led by California and environmental groups dropped a lawsuit filed in 2022 that sought to block the U.S. Postal Service's plan to buy mostly gas-powered ...
In 2001, an 18-year-old committed to a Texas boot camp operated by one of Slattery’s previous companies, Correctional Services Corp., came down with pneumonia and pleaded to see a doctor as he struggled to breathe.
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .