the Cauchy kernel. Given a random Fourier feature map z {\displaystyle z} , training the feature on a dataset by featurized linear regression is equivalent...

Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a...

In common usage, randomness is the apparent or actual lack of definite pattern or predictability in information. A random sequence of events, symbols or...

of a transformer by linking the key to the value. Random Feature Attention (2021) uses Fourier random features: φ ( x ) = 1 D [ cos ⁡ ⟨ w 1 , x ⟩ , sin...

In machine learning the random subspace method, also called attribute bagging or feature bagging, is an ensemble learning method that attempts to reduce...

Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably...

This results in a random forest, which possesses numerous benefits over a single decision tree generated without randomness. In a random forest, each tree...

randomized feature maps to compute the approximations to the RBF kernels. For instance, Random Fourier features and random binning features. Random Fourier...

Random Hearts is a 1999 American romantic drama film directed by Sydney Pollack and starring Harrison Ford and Kristin Scott Thomas. Based on the 1984...

(2009). Feature Hashing for Large Scale Multitask Learning (PDF). Proc. ICML. K. Ganchev; M. Dredze (2008). Small statistical models by random feature mixing...