@inproceedings{lengerich2020purifying, title={Purifying interaction effects with the functional anova: An efficient algorithm for recovering identifiable additive models}, author={Lengerich, Benjamin and Tan, Sarah and Chang, Chun-Hao and Hooker, Giles and Caruana, Rich}, booktitle={International Confere...
First things first, a little bit of theory. I won't go deep into quantum mechanics now (primarily because I don't understand it well enough to talk about it in public). What we really need to know about emulating a quantum computer, is that it's all about matrix multiplication. Quantum...
The thumbs up and thumbs down icons at the top of the page are provided so you can provide feedback about the visual and the feature. Doing so provides feedback, but it doesn't currently train the algorithm to influence the results returned next time you use the feature....
Model fitting to experimental data was done by nonlinear curve-fitting in the least-squares sense using the Levenberg-Marquardt algorithm (MATLAB built-in function). Briefly, the best-fitting parameter set was derived by fitting model to mean value of bond lifetime vs force profile, and SE of...
In most organisms, the number and distribution of crossovers that occur during meiosis are tightly controlled. All chromosomes must receive at least one ‘obligatory crossover’ and crossovers are prevented from occurring near one another by ‘crossover
aBy the aforementioned SOM algorithm, the input data with similar concepts will be projected into the same zone, so that SOM can facilitate users to observe the relationship among input data. However, there are three major limitations which make SOM unsuitable for real world applications. First, ...
More recently, series are used which operate on similar principles but converge even more quickly. The latest computer record used the 1989 Chudnovsky algorithm, which is based on the series: In 2011 Shigeru Kondo set this record on a custom-built home computer using y-cruncher, a program writ...
neural net- works, many theoretical breakthroughs have been made progressively, including studying the properties of stochas- tic gradient descent [31], different complexity measures [46], generalization gaps [50], and many more from differ- ent mode...
Indeed. Turing's proof for the halting theorem says that there is no algorithm that allows a Turing machine to determine whether any possible program/input combination will halt. However, this doesn't necessarily mean that it's impossible to develop an algorithm that determines whether a ...
B. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. Ser. B 39, 1–38 (1977). 60. Nicholas, T. J., Baker, C., Eichler, E. E. & Akey, J. M. A high-resolution integrated map of copy number polymorphisms within and between breeds of modern ...