The meaning of CLASSIFIER is one that classifies; specifically : a machine for sorting out the constituents of a substance (such as ore).
(also called numerative), an auxiliary lexeme or noun that has lost its basic meaning to a greater or lesser degree and is used to designate countable objects. Classifiers are used in an attributive word group that contains a numeral and a noun; an example in Russian is piat’ shtuk karan...
Natural Language Processing (NLP) is a subfield of machine learning that makes it possible for computers to understand, analyze, manipulate and generate human language. You encounter NLP machine learning in your everyday life — from spam detection, to autocorrect, to your digital assistant (“Hey...
I joke that we sometimes have machine learning classifiers to solve a problem. Better cybersecurity means finding the “unknown unknowns” | MIT Technology Review Insights | May 26, 2021 | MIT Technology Review Now we’re at the point where our classifiers are catching errors in the labeling ...
If you insist on explicitly instantiate a random classifier - what is the meaning of "training" it? There are the errors you get, pytorch simply cannot understand what you are doing. You can have a random classifier and you canevaluateits performance, but there is no meaning to...
in real-time protection against malicious objects, including, but not limited to, malicious JavaScript code. Existing methods suffer from low scanning speed, which may increase the risk of an infection prior to detection. In addition, such methods may utilize outdated Machine Learning algorithms, ...
The goal for training a traffic classifier100with a plurality of binary classifiers104may be formalized as follows. Let F={(x1, y1), (x2, y2) . . . , (xn, yn)} be a training data set of n flow sets. Each xi={xij, 1≦j≦m}, meaning xiis an m-dimensional vector representing...
Idioms are those which convey an indirect meaning of the words present in them whereas, literals are those text which are identical to idioms but convey the direct meaning of the words in them. This paper has attempted to do this classification using Machine Learning algorithms, namely, SVM ...
Each xi={xij, 1≦j≦m}, meaning xi is an m-dimensional vector representing a feature set of m features, where xij stands for the jth feature in the ith feature set. Feature xij can be either categorical (e.g., tcpflag) or numerical (e.g., flow duration). Each yi{C1 C2, . ....
Relative studies also revealed the possibility of machine learning algorithms coupled with high-throughput platforms to the classification problem of lung cancer subtypes in vitro15. In 2012, Barash et al. proved that combining support vector machines with gold nanoparticle sensors and gas chromatography...