Thorough numerical results are provided to support the obtained\ntheory.doi:10.1214/17-AOS1568Jianqing FanHan LiuQiang SunTong ZhangJianqing Fan, Han Liu, Qiang Sun, and Tong Zhang. TAC for sparse learning: Simultaneous control of algorithmic complexity and statistical error. arXiv preprint arXiv:...
Mathematicians were initially interested in the dividing line between what was and what was not algorithmic. 数学们起初感兴趣的是算法的有与无的界限,然而,简单地知道问题是否有解决的算法并不完事了。 权威例句 Greed is good: algorithmic results for sparse approximation ...
Jaggi, M.: Revisiting Frank–Wolfe: projection-free sparse convex optimization. In: International Conference on Machine Learning, pp. 427–435 (2013) Clarkson, K.: Coresets, sparse greedy approximation, and the Frank–Wolfe algorithm. In: Symposium on Discrete Algorithms, SODA, pp. 922–931 (...
The sparse regression excluded 14 terms, giving \(r=0.7\). The parameter grids appear in SI Appendix, Fig. 10. The results in the table display the SINDy-discovered coefficients of the corresponding terms in (Eqs. 1–3). Full size image The fit between model and data for measles and ...
directed models (Markov random fields). Can be trained similarly as RBMs via MCMC (Hinton & Sejnowski, 1983). Use a variational approximation(变分近似) of the data distribution forfaster training(Salakhutdinov & Hinton, 2009). Similarly, can be used to initialize other networks for downstream ...
Fig. 4 shows our QOC results executed with our custom CPU+GPU implementation for the Morse potential (Eq. (8)), and Fig. 5 shows results for the double-well potential given by(11)V(x)=x464−x24+x3256. In both cases, the optimized electrical fields and power spectra plots are ...
Algorithmic Meta Theorems for Sparse Graph Classes Algorithmic meta theorems give efficient algorithms for classes of algorithmic problems, instead of just individual problems. They unify families of algori... M Grohe - Computer Science-theory & Applications: International Computer Science Symposium in Rus...
(also known as approximable or semi-computable from below) if there is a computable function (x,t)↦ft(x) such that for all x∈D, ft(x) is nondecreasing in t and converges to f(x). The value ft(x) is called the approximation of f(x) at stage t. The notion of a right-c...
2. A sparse MLP where the sparsity structure is informed by the overlap of the B-spline basis function supports on the knot spans. In other words: this architecture aims 123 Gradient descent-based freeform optics design… Fig. 12 The dense multi-layer perceptron architecture based on the ...
The Ising Partition Function: Zeros and Deterministic Approximation of the complex zeros of the partition function, which can be seen as an algorithmic realization of the classical Lee-Yang approach to phase transitions. ... J Liu,A Sinclair,P Srivastava - IEEE 被引量: 24发表: 2017年 Geometry...