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The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. [1] It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self ...
Finite difference method (numerical analysis) Finite element method (numerical analysis) Finite volume method (numerical analysis) Highest averages method (voting systems) Method of exhaustion; Method of infinite descent (number theory) Information bottleneck method; Inverse chain rule method ; Inverse transform sampling method (probability)
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In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have more knowledge capacity than small models, this capacity might not be fully utilized.
In an asymmetric bottleneck TSP, there are cases where the weight from node A to B is different from the weight from B to A (e. g. travel time between two cities with a traffic jam in one direction). The Euclidean bottleneck TSP, or planar bottleneck TSP, is the bottleneck TSP with the distance being the ordinary Euclidean distance. The problem ...
Bottleneck (engineering), where the performance of an entire system is limited by a single component; Bottleneck (network), in a communication network; Bottleneck (production), where one process reduces capacity of the whole chain; Bottleneck (software), in software engineering; Interconnect bottleneck, limits on integrated circuit performance
The naïve roofline [3] is obtained by applying simple bound and bottleneck analysis. [8] In this formulation of the roofline model, there are only two parameters, the peak performance and the peak bandwidth of the specific architecture, and one variable, the arithmetic intensity.