Auxiliary gradient-based sampling al- gorithms. Journal of the Royal Statistical Society: Series B (Statistical Methodol- ogy) 80 (4), 749-767.Titsias, M. K. and O. Papaspiliopoulos (2018). Auxiliary gradient-b
Cancer recognition is frequently applied in medical diagnostic analysis and has attracted keen interest from researchers. Deep learning-based methods have made significant advances in cancer recognition. Hou et al. [9] investigated an improved deep convolutional neural network model based on data augmenta...
Auxiliary models based multi-innovation generalized extended stochastic gradient algorithms; 基于辅助模型的多新息广义增广随机梯度算法 2. Corresponding auxiliary models are obtained in the meaning of different criteria. 提出了一类区间值模糊线性规划问题 ,讨论了区间值模糊数的排序方法 ,在不同的排序准则下获...
If this value is too small it is determined on step 5 of the above algorithms and the K value is increased. Though any initial value of auxiliary parameter \(V_{0}\) may be used, we used such a value that satisfies (15). It can be easily estimated on a pre-computing step before...
At present, most of the research in the field of medical-assisted diagnosis is carried out based on image or electronic medical records. Although there is some research foundation, they lack the comprehensive consideration of comprehensive image and text
Extending Gal's work [11], we have experimented with auxiliary regularization to recent reinforcement algorithms, Deep Deterministic Policy Gradient (DDPG) [12] and Trust Region Policy Optimization (TRPO) [13] and the method has outperformed the standard neural networks, achieving higher rewards in ...
Auxiliary models based multi-innovation generalized extended stochastic gradient algorithms; 基于辅助模型的多新息广义增广随机梯度算法 2. Corresponding auxiliary models are obtained in the meaning of different criteria. 提出了一类区间值模糊线性规划问题 ,讨论了区间值模糊数的排序方法 ,在不同的排序准则下获...
The whole process needs a model of the entire gridded/topology map and includes search-based algorithms (Dijkstra [14], A* [15], D* [16]) and sampling-based algorithms (RRT [17], RPM [18]). The artificial potential field method uses local environmental information obtained by airborne ...
To improve the identification performance of the AM-SG algorithm, an innovation length p is introduced to derive an auxiliary model-based multi-innovation stochastic gradient (AM-MISG) algorithm. Considering the most recent p sets of input-output data, define the stacked output vector 𝒀𝑖(...
Satellite-Based Mapping and Monitoring of Natural DisastersAdvances in Social Network Analysis – Spatio-Temporal and Semantic MethodsAdvances in Spatio-Temporal Data Analysis and MiningAlgorithms and Techniques in Urban MonitoringAnalysis and Applications of Global Land Cover DataApplication of Geographical ...