self.num_blocks,self.block_size,self.block_size*self.hidden_size_factor,))self.b1=nn.Parameter(self.scale*torch.randn(2,self.num_blocks,self.block_size*self.hidden_size_factor
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In machine learning, the simplest way to implement long-term memory is for models to keep (a part of) training data and use them as medium for inference. They are called non-parametric methods. The term “non-parametric” means that algorithm complexity is not relied on the parametrization ...
Therefore, for the sustainable usage and improvement of AI algorithms, a clear rationale for the results must be explained. However, if the learning process of the data input to the algorithm and the causes and rationales for each result cannot be accurately visualized and explained, then the re...
In [6], a fault diagnosis method for WSN sensors based on Bayes decision theory was proposed. The basic principle of this algorithm was used for fault location and repair decisions in the modules of each node. Moreover, in carrying out the analysis using Bayes decision theory, the collection...
two-way searching algorithmgraph theoryDe novo peptide sequencing that determines the amino acid sequence of a peptide via tandem mass spectrometry (MS/MS) has been increasingly used nowadays in proteomics for protein identification. Current de nov...
通过将动力学平均场理论(dynamical mean-field theory,DMFT)推广到稀疏系统,我们推导出了描述单自由度有效动力学的路径概率的精确方程。方程通用解适用于神经网络、生态系统、流行病传播和同步研究中的关键模型。利用群体动力学算法,我们求解了路径概率方程,以确定稀...
A significant milestone in modern gradient-based optimization is the development of Nesterov’s accelerated gradient descent (NAG) method. This forward-backward technique has been further enhanced by its proximal generalization, known as the ...
Towards Processing of Big Graphs: from Theory, Algorithm to System (Invited Talk) 来自 Semantic Scholar 喜欢 0 阅读量: 24 作者: X Lin 摘要: Graphs are very important parts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications such as ...
Several other algorithms are presented which are especially suitable for processing sparse graphs. 展开 关键词: parallel algorithm graph algorithm minimum spanning tree biconnected component bridge fundamental cycle computational complexity graph theory multiprocessing ...