In the iterative process, the forward-backward operator is computed once per inclusion problem, representing a relevant computational saving if compared with similar algorithms in the literature. The convergence analysis of the proposed methods is given assuming monotonicity of all operators, without ...
Atomically thin heterostructures function as optomemristors, which are used for biomimetic neural algorithms for performing winner-take-all tasks, such as competitive and cooperative learning. Ghazi Sarwat Syed ,Yingqiu Zhou &Harish Bhaskaran News & Views|27 April 2023 ...
The plot shows the Shapley Value of each feature, representing the contribution that pushes the model outcome from base value to the final prediction. The red color means a positive contribution, and the blue color means a negative contribution. The plot shows that, in this dataset, a feature ...
Representing the original value with a low number of bits will inevitably lead to quantization errors, and the focus of quantization methods is on how to reduce quantization errors and the damage of quantization errors to model convergence. Seide et al.13 proposed 1-bit quantization, which only ...
In this paper, we describe both novel and existing algorithms that compute strategies for the class of two-player zero-sum simultaneous move games. The algorithms include exact backward induction methods with efficient pruning, as well as Monte Carlo sampling algorithms. We evaluate the algorithms ...
Instead, continuity is implicit through the use of control volumes, attached to the reference columns. In DAN (Hungr, 1995), the control volumes are trapezoidal “mass blocks” representing the material carried between each adjacent pair of reference columns. The flow thickness in the centre of ...
Further we study Sudan's algorithm for list decoding of Reed-Solomon codes for the special case of the class-I codes. For these codes algorithms are suggested for both the first and second step of Sudan's algorithm. Hardware solutions for both steps based on the derived algorithms are ...
In recent years, the deep learning methods have a breakthrough in computer vision tasks, such as image classification, object recognition, and face recognition [18–20]. Convolutional neural network (CNN) is one of the most successful deep learning algorithms. Recently, CNN models, such as Caffe...
where A is the vector representing the femoral neck axis, and B is vector representing the femoral shaft axis. 3D measurement of the NSA We connected the spherical center of the femoral head and the centroid of the femoral neck obtained by the above steps as the femoral neck axis. We defin...
These two types of nodes were connected by weighted edges representing the number of times each individual visited each site (Fig. 1e–h). This representation thus allows the spatial habits of all colony members to be summarized in a single network. To test whether individuals can be ...