robust control/ robust position/force controlmultiple robotsneural networksredundant robotsThe control of multiple redundant robots, whose end-effectors grasp an object, involves complex control tasks. First, th
proposed an attention based MIL pooling and offered an end-to-end solution for multiple instance neural network [9]. MIL for Document Classification. Yan et.al. proposed a sparse MIL solution to build a robust structural representation for instances and bags [20]. Zhou et.al. mined the ...
The RSIS method allows to design MIL ensembles that are robust to various witness rate, because each time one of the classifiers in the ensemble is trained, only one instance is used from each bag. The instances are drawn based on their probability of being positive. If the witness rate is...
In machine learning, multiple instance learning is a method evolved from supervised learning algorithms, which defines a “bag” as a collection of multiple examples with a wide range of applications. In this paper, we propose a novel deep multiple instance learning model for medical image analysis...
This was because the model could understand the similar meanings of natural language by neural networks30, resulting in near-miss answers. The prediction accuracy of compounds was lower (36%), mainly because of the uniqueness problem (Supplementary Fig. 16). For instance, a chemical structure ...
In this method, a neural network is used to calculate the attention weight, which represents the importance of an instance, and a weighted feature vectorz, which is a weighted average of the instances, is obtained using the following equations18. ...
Thus, we think that it's the time to apply these new robust image descriptors to represent the characteristics of plankton for better classification performance. In addition, the morphological characteristics of plank- ton can be described from different views with diverse features, such as shape, ...
iMAP is also robust to changes in other hyperparameters (Additional file 1: Fig. S10; Additional file 1: Table S3). Then, we sought to observe the effects of intrinsic stochasticity of iMAP on the performance by re-running the entire iMAP procedure for 20 times on the “panc_rm” ...
Now, having more robust features at each scale, we interpret the features of other scales to the features of the scale where the node belongs to in the message passing network. For this purpose, we used one layer of RGCN on Rs edges with a layer-normalization (Ba et al., 2016) and ...
global robust exponential stabilityfixed point theorylyapunov functionalIn this paper, we first discuss the existence and uniqueness of an equilibrium point of a general second-order Cohen–Grossberg neural networks with multiple neurons by means of using fixed point theory. Then by applying the ...