Search results
Results from the WOW.Com Content Network
Companies based in Rochester, New York (2 C, 34 P) Pages in category "Companies based in Monroe County, New York" The following 16 pages are in this category, out of 16 total.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random determined by the random bits; thus either the running time, or the output (or both) are ...
In analysis of algorithms, probabilistic analysis of algorithms is an approach to estimate the computational complexity of an algorithm or a computational problem. It starts from an assumption about a probabilistic distribution of the set of all possible inputs.
Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive update rules of stochastic approximation methods can be used, among other things, for solving linear systems when the collected data is corrupted by noise, or for approximating extreme values of functions which cannot be computed directly, but ...
Then, there might be a tie. Following the weight update rule in weighted majority algorithm, the predictions made by the algorithm would be randomized. The algorithm calculates the probabilities of experts predicting positive or negatives, and then makes a random decision based on the computed fraction: [further explanation needed] predict
Since algorithms are platform-independent (i.e. a given algorithm can be implemented in an arbitrary programming language on an arbitrary computer running an arbitrary operating system), there are additional significant drawbacks to using an empirical approach to gauge the comparative performance of a given set of algorithms.
ISO was formed in 1971 as an advisory and rating organization for the property/casualty insurance industry to provide statistical and actuarial services, to develop insurance programs, and to assist insurance companies in meeting state regulatory requirements. [4] It became a wholly owned subsidiary of Verisk Analytics in October 2009. [5]