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Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
The word embedding approach is able to capture multiple different degrees of similarity between words. Mikolov et al. (2013) [ 26 ] found that semantic and syntactic patterns can be reproduced using vector arithmetic.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
It specifies where it would be OK to add a line-break where a word is too long, or it is perceived that the browser will break a line at the wrong place. Whether the line actually breaks is then left up to the browser. The break will look like a space - see soft hyphen below when it would be more appropriate to break the word or line using a ...
The editor Vim further distinguishes word and word-head classes (using the notation \ w and \ h) since in many programming languages the characters that can begin an identifier are not the same as those that can occur in other positions: numbers are generally excluded, so an identifier would look like \ h \ w * or [[:alpha:] _] [[:alnum ...
Providing a static method that returns a reference to the instance; The instance is usually stored as a private static variable; the instance is created when the variable is initialized, at some point before when the static method is first called. This C++23 implementation is based on the pre-C++98 implementation in the book [citation needed].
Their approach was to regard each molecule as a labeled bag, and all the alternative low-energy shapes of that molecule as instances in the bag, without individual labels. Thus formulating multiple-instance learning. Solution to the multiple instance learning problem that Dietterich et al. proposed is the axis-parallel rectangle (APR) algorithm ...
They can be distinguished from each other according to several different criteria. Considering this, instance selection algorithms can be grouped in two main classes, according to what instances they select: algorithms that preserve the instances at the boundaries of classes and algorithms that preserve the internal instances of the classes.