exponential smoothing - определение. Что такое exponential smoothing
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Что (кто) такое exponential smoothing - определение


Exponential smoothing         
GENERATES A FORECAST OF FUTURE VALUES OF A TIME SERIES
Expenential Smoothing; Holt-Winters; Double exponential smoothing; Peter R. Winters
Exponential smoothing is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.
exponential function         
  • The red curve is the exponential function.  The black horizontal lines show where it crosses the green vertical lines.
  • The exponential function e^z plotted in the complex plane from -2-2i to 2+2i
MATHEMATICAL FUNCTION WITH A CONSTANT BASE AND A VARIABLE EXPONENT, DENOTED EXP_A(X) OR A^X
Complex exponential function; Complex exponential; Natural exponential function; E^x; Exp(x); Exp (programming); Complex exponentials; Real exponential function; E**x; E to the x; Cb^x; Exponential Function; Exponential equation; Exponential equations; ⅇ; Natural exponent; Exponential minus 1 function; Exponential minus 1; Expm1; Exp-1; Exp1m; Expm1(x); Exp1m(x); Natural exponential minus 1; Natural exponential; E^X-1; E^x-1; Exp(x)-1; Base e antilogarithm; Exponent of e; Base e anti-logarithm; Exponential minus one function; Exponential minus one; Natural exponential minus one; Natural exponential minus one function; Exponential near 0; Exponential near zero; Natural exponential near 0; Natural exponential near zero; Eˣ-1; Eˣ - 1; Eˣ; Eˣ−1; Eˣ − 1; E^x−1; Exp(x)−1; Exponential base
¦ noun Mathematics a function whose value is a constant raised to the power of the argument, especially the function where the constant is e.
Kneser–Ney smoothing         
STATISTICAL METHOD
Kneser-Ney smoothing
Kneser–Ney smoothing, also known as Kneser-Essen-Ney smoothing, is a method primarily used to calculate the probability distribution of n-grams in a document based on their histories.'A Bayesian Interpretation of Interpolated Kneser-Ney NUS School of Computing Technical Report TRA2/06' It is widely considered the most effective method of smoothing due to its use of absolute discounting by subtracting a fixed value from the probability's lower order terms to omit n-grams with lower frequencies.