That younger individuals perceive the world as moving slower than adults is a familiar phenomenon. Waiting for the next birthday to come seems “forever” for children, but the older we get, the faster “time flies”. Yet, it is an open question why that is. One possible answer relates to...
We describe typical generalization performance of kernel regression shedding light onto practical uses of the algorithm, in contrast to the worst case bounds of statistical learning theory8,18,20,21,22. In the past, statistical mechanics provided a useful theoretical framework for such typical-case ...
风格化ImageNet训练 (Stylized ImageNet Training):在风格化ImageNet (SIN) 上进行预训练,这可以看作是一种极端形式的增强,它破坏了纹理和类别标签之间的相关性(SHAPENET)[18]。 对抗性训练 (Adversarial Training):针对PGD(Projected Gradient Descent)对手进行对抗性训练的模型,这种训练通过逐渐增加攻击预算ϵ来提高...
Computational model design for road to waterway transportation conversion efficiency improvement based on deep learning algorithm Path planning for combined transportation can improve the irrationality in the carrier task so as to achieve the purpose of cost reduction and efficiency. ... Z Fang,Y Liang...
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...
For each empirical spectral tuning curve, the best fit parameters of the model are iteratively estimated using a standard gradient descent algorithm under the least squares estimation method. We consider a set ofNobservations of the activities of third order cellsY = (y1,y2, …yN) that wer...
However, the appearance of the trajectory is often random, leading to instability in interpreting results. Therefore, we propose a feature-based submodular algorithm to summarize the representative Shapley patterns. The summarization method can quickly generate the summary of Shapley distributions on ...