Welcome to Anagrammer Crossword Genius! Keep reading below to see if smooches is an answer to any crossword puzzle or word game (Scrabble, Words With Friends etc). Scroll down to see all the info we have compiled on smooches.
smooches
Searching in Crosswords ...
The answer SMOOCHES has 8 possible clue(s) in existing crosswords.
Searching in Word Games ...
The word SMOOCHES is VALID in some board games. Check SMOOCHES in word games in Scrabble, Words With Friends, see scores, anagrams etc.
Searching in Dictionaries ...
Definitions of smooches in various dictionaries:
noun - an enthusiastic kiss
verb - snuggle and lie in a position where one person faces the back of the others
adv - to touch with the lips as a sign of affection [v -ED, -ING, -ES] : KISSABLE [ adj ], KISSABLY
Word Research / Anagrams and more ...
Keep reading for additional results and analysis below.
| Possible Crossword Clues |
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| Wet ones, so to speak |
| Sloppy kisses |
| Osculates |
| kisses |
| Gives lip service? |
| Cathedral cities half-heartedly welcoming Low Church's embraces |
| Smooches might refer to |
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In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. In Smoothing, the data points of a signal are modified so individual points (presumably because of noise) are reduced, and points that are lower than the adjacent points are increased leading to a smoother signal. Smoothing may be used in two important ways that can aid in data analysis (1) by being able to extract more information from the data as long as the assumption of smoothing is reasonable and (2) by being able to provide analyses that are both flexible and robust. Many different algorithms are used in smoothing. * Smoothing may be distinguished from the related and partially overlapping concept of curve fitting in the following ways:* curve fitting often involves the use of an explicit function form for the result, whereas the immediate results from smoothing are the "smoothed" values with no later use made of a functional form if there is one; * the aim of smoothing is to give a general idea of relatively slow changes of value with little attention paid to the close matching of data values, while curve fitting concentrates on achieving as close a match as possible. * smoothing methods often have an associated tuning parameter which is used to control the extent of smoothing. Curve fitting will adjust any number of parameters of the function to obtain the 'best' fit.However, the terminology used across applications is mixed. For example, use of an interpolating spline fits a smooth curve exactly through the given data points and is sometimes called "smoothing". |