Stability of Randomized Learning Algorithms with an Application to Bootstrap MethodsAndre ElisseeffMassimiliano Pontil
www.nature.com/scientificreports OPEN Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi‑modal classifiers Nikhilanand Arya 1*, Sriparna Saha 1, Archana Mathur 2 & Snehanshu Saha 3 ...
www.nature.com/scientificreports OPEN Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi‑modal classifiers Nikhilanand Arya 1*, Sriparna Saha 1, Archana Mathur 2 & Snehanshu Saha 3 ...
and then propose an optimal self-adaptive method that is able to optimally balance the post-disturbance TSA accuracy and speed. In the proposed method, a randomized learning algorithm, extreme learning machine, is adopted owing to its stochastic ...
The results show that this assumption is controversial on randomized datasets 1, 3, 7, 8, and 9 of S543 (Supplementary Table S12). The second observation was that the distribution of the dataset plays a role in calculating PCC. When randomly selecting 10 sub-datasets of S236 and S543, ...
Not actively enrolled in a randomized clinical trial in the 8 weeks prior to the testing visits. 2. Use of speech as the primary mode of communication for the youth, with multi-word utterances used at least occasionally. 3. English is the primary language used in the home. ...
(we shall elaborate on this example shortly). Many gradient descent procedures use randomized starting points, which may even cause runs on the same sample to end in different local minima. Algorithms behaving according to Bayesian principles will choose two hypotheses of equal training error with ...
Crucial problems of the quantum Internet are the derivation of stability properties of quantum repeaters and theory of entanglement rate maximization in an entangled network structure. The stability property of a quantum repeater entails that all incomin
In comparison to classic decision problems, property testing problems allow for algorithms with sublinear complexity. For example, a randomized decision algorithm for graph connectivity needs to read the whole input to achieve constant error probability, which implies a linear lower bound on the complexi...
Twenty-six healthy and physically active older adults (70.08±4.40 years old) were included in a randomized crossover study. The addition of juggling three times a week during four weeks was the main intervention (one period), while the control phase included four weeks with no addition of jug...