This paper proposes an entropy-based model to estimate the veracity of topics in social media from truthful vantage point. Two existing big data veracity models namely, OTC model (Objectivity, Truthfulness, and Credibility) and DGS model (Diffusion, Geographic and Spam indices) are compared with ...
•An entropy-based model is bulit to detect the miRNA isoform level at the 5′ end.•Many miRNAs are found with significant changes of isoform levels i... S Wang,Y Xu,M Li,... - 《Gene》 被引量: 3发表: 2016年 Alu-miRNA interactions modulate transcript isoform diversity in stress...
最大熵模型(Maximum Entropy Model) 最大熵原理 在介绍最大熵模型之前,我们先了解一下最大熵原理,因为最大熵原理是选择最优概率模型的一个准则。 最大熵原理 在概率模型空间集合中,在满足给定约束条件的前提下,使信息熵最大化得到的概率模型,就是最优的模型。 理解最大熵原理通常用约束条件来确定概率模型的集...
主体的Encoder和Decoder中,沿用了之前的方法encoder和decoder都是CNN。 在概率模型方面,使用了纯Transformer的结构,结合了上下文预测模块(Context Model)和超先验概率模块(Hyperprior)。 损失函数为: L=R+λD=Ex∼px[−log2p^y(^y)] rate (lalents)+Ex∼px[−log2p^z(^z)] rate (hyper latents)+λ...
To test whether this was the case, we used tenfold cross-validated linear regression to predict deviation from matching using a model without entropy-based metrics or repetition indices, a model without entropy-based metrics, and a model with all metrics (full model). Predictors chosen for inclu...
Expression entropy model For droplet datasets, the observed UMI count can be modeled as a NB random variable, which also arises as a Poisson–Gamma mixture41 $$\begin{array}{l}X_{ij}\sim {\mathrm{Poisson}} \,( {s_j\lambda _{ij}})\\ \, \,\,\,\,\,\lambda _{ij}\sim {\math...
Since the naive iterative pruning strategy is too time-consuming, we propose a learning schedule to seek a trade-off between training speed and model accuracy. 主要贡献如下: • 提出了一个简单而有效的框架,用于在训练和推理阶段加速和压缩CNN模型。我们的方法可以压缩中间激活的大小,从而大大减少运行时...
AnalysisModelandEmpiricalResearchonProductInnovationProcessof ManufacturingIndustryEnterprisesBasedonEntropyTopsisMethod YINHang 1,2 ,LIBaizhou 1 ,GUOTao 1 (1.SchoolofEconomicandManagement,HarbinEngineeringUniversity,Harbin150001,China;2.Schoolof EconomicandManagement,TsinghuaUniversity,Beijing100084,China) Abstract:...
使用信息论相关的度量来特征化3D模型的采样视图的视觉信息特征被认为是一个有效的方法,因此对于3D形状复杂度的测量也是有用的。Vazquez等提出视点熵来描绘一个视图包含的信息的数目,基于此,他们开发了自动找到视点熵值较大的视图集合的方法。 3视点熵分布-基于视图聚类 ...
The model takes the masked partial sequences and backbone structures as input and learns to reconstruct the whole sequence. During inference, the input partial sequence to ProRefiner could be constructed in two ways. In partial sequence design scenarios where only some residues need to be designed...