In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the expected...

value-based methods which learn a value function to derive a policy, policy optimization methods directly learn a policy function π {\displaystyle \pi }...

characterization of PAC-learnable classes that H {\displaystyle {\mathcal {H}}} is PAC-learnable, and by extension, learnable. Suppose H {\displaystyle...

Latent class model Latent semantic analysis Latent variable Latent variable model Lattice Miner Layered hidden Markov model Learnable function class Least...

\delta <1} then C {\displaystyle C} is (efficiently) PAC learnable (or distribution-free PAC learnable). We can also say that A {\displaystyle A} is a PAC...

collectively referred to as non-union classes) that has data and functions (also called member variables and member functions) as its members whose access is...

(i.e., an arbitrary function) is allowed, then an indexed class of languages is learnable in the limit if each language in the class has a tell-tale (Condition...

mathematical analysis, the Dirac delta function (or δ distribution), also known as the unit impulse, is a generalized function on the real numbers, whose value...

being overridden by derived classes (such as the final and private keywords in Java and PHP). The concept of the virtual function solves the following problem:...

support function overloading include C, Rust and Zig. The same function name is used for more than one function definition in a particular module, class or...

In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ⁡ ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})}...

of the general class of step functions, all of which can be represented as linear combinations of translations of this one. The function was originally...

a hidden layer with randomized weights that did not learn, and an output layer with learnable connections. In 1962, Rosenblatt published many variants...

In quantum physics, a wave function (or wavefunction) is a mathematical description of the quantum state of an isolated quantum system. The most common...

In mathematics, a real or complex-valued function f on d-dimensional Euclidean space satisfies a Hölder condition, or is Hölder continuous, when there...

Neural operators are a class of deep learning architectures designed to learn maps between infinite-dimensional function spaces. Neural operators represent...

cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution function of X {\displaystyle X} ,...

A_{i},b_{i},\Sigma _{i}} are learnable parameters. In words, each expert learns to do linear regression, with a learnable uncertainty estimate. One can...

mathematics, a piecewise function (also called a piecewise-defined function, a hybrid function, or a function defined by cases) is a function whose domain is partitioned...

programming language that allows functions and classes to operate with generic types. This allows a function or class declaration to reference via a generic...

results – Showing that a certain class of functions is learnable in polynomial time. Negative results – Showing that certain classes cannot be learned in polynomial...

computer science, a higher-order function (HOF) is a function that does at least one of the following: takes one or more functions as arguments (i.e. a procedural...

of distinguishing between two different classes of functions, it tries to learn a string encoded in a function. The Bernstein–Vazirani algorithm was designed...

called a member function or method. A function outside of a class can be called a free function to distinguish it from a member function. void doSomething()...

In mathematics, a rational function is any function that can be defined by a rational fraction, which is an algebraic fraction such that both the numerator...

with first-class functions, where they fulfil the same role for the function type as literals do for other data types. Anonymous functions originate in...

where W Q {\displaystyle W_{Q}} and W K {\displaystyle W_{K}} are learnable weight matrices. Attention ( Q , K , V ) = softmax ( Q W K T ) V {\displaystyle...

The Gerald R. Ford-class nuclear-powered aircraft carriers are currently being constructed for the United States Navy, which intends to eventually acquire...

cluster with four chrome-trimmed round gauges from the C-Class and a new four-spoke multi-function steering wheel with options of full leather cover or combination...

signature of each member function (method). A class defines an implementation of an interface, and instantiating the class results in an object that...