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  2. Variable-length array - Wikipedia

    en.wikipedia.org/wiki/Variable-length_array

    The following C99 function allocates a variable-length array of a specified size, fills it with floating-point values, and then passes it to another function for processing. Because the array is declared as an automatic variable, its lifetime ends when read_and_process() returns.

  3. Undefined variable - Wikipedia

    en.wikipedia.org/wiki/Undefined_variable

    An undefined variable in the source code of a computer program is a variable that is accessed in the code but has not been declared by that code. [1] In some programming languages, an implicit declaration is provided the first time such a variable is encountered at compile time. In other languages such a usage is considered to be sufficiently ...

  4. Segmentation fault - Wikipedia

    en.wikipedia.org/wiki/Segmentation_fault

    Here is an example of ANSI C code that will generally cause a segmentation fault on platforms with memory protection. It attempts to modify a string literal, which is undefined behavior according to the ANSI C standard. Most compilers will not catch this at compile time, and instead compile this to executable code that will crash:

  5. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    Kernel methods owe their name to the use of kernel functions, which enable them to operate in a high-dimensional, implicit feature space without ever computing the coordinates of the data in that space, but rather by simply computing the inner products between the images of all pairs of data in the feature space. This operation is often ...

  6. Kernel regression - Wikipedia

    en.wikipedia.org/wiki/Kernel_regression

    Python: the KernelReg class for mixed data types in the statsmodels.nonparametric sub-package (includes other kernel density related classes), the package kernel_regression as an extension of scikit-learn (inefficient memory-wise, useful only for small datasets) R: the function npreg of the np package can perform kernel regression. [7] [8]

  7. Kernel - Wikipedia

    en.wikipedia.org/wiki/Kernel

    Kernel (geometry), the set of points within a polygon from which the whole polygon boundary is visible; Kernel (statistics), a weighting function used in kernel density estimation to estimate the probability density function of a random variable; Integral kernel or kernel function, a function of two variables that defines an integral transform

  8. String kernel - Wikipedia

    en.wikipedia.org/wiki/String_kernel

    In machine learning and data mining, a string kernel is a kernel function that operates on strings, i.e. finite sequences of symbols that need not be of the same length.. String kernels can be intuitively understood as functions measuring the similarity of pairs of strings: the more similar two strings a and b are, the higher the value of a string kernel K(a, b) wi

  9. Kernel panic - Wikipedia

    en.wikipedia.org/wiki/Kernel_panic

    After recompiling a kernel binary image from source code, a kernel panic while booting the resulting kernel is a common problem if the kernel was not correctly configured, compiled or installed. [8] Add-on hardware or malfunctioning RAM could also be sources of fatal kernel errors during start up, due to incompatibility with the OS or a missing ...