With further exploration of the Git project, we find that the frequency of dynamic memory allocation behavior would elevate after heterogenization, meaning that the program would spend more time on heap memory management. With this impact, Git suffers a performance drop rate of 14%. The overall...
Until 2006, graphics chips were very difficult to use because programmers had to use the equivalent of graphics API (application programming interface) functions to access the processing units, meaning that OpenGL or Direct3D techniques were needed to program these chips. Stated more simply, a compu...
Most transfer learning applied to medical image diagnosis is one-step transfer learning, meaning it directly uses the pre-trained model from the source domain and then fine-tunes it in the target domain. However, Tan et al.9 pointed out that the performance of one-step transfer learning would...
In addition, it was also shown the existence of multiple attractors for flocks flying through the same realization of quenched disorder, meaning that the fate and history of the flock are strongly dependent on the initial condition31. Finally, it was found in models32 and experiments33, that ...
In this survey, POI recommendation refers exclusively to tourism-related POI recommendation, meaning the recommendation of any locations that tourists may visit during their trip. POI p refers solely to the POI ID, enabling a clearer exploration of the influence of heterogeneous information on POI re...
in a large, combinedheterogeneous setof the kind that is argued for above. Furthermore, since drug projects often run over a period of years, it is likely that some chemical series present in the dataset will stretch over any given cut-off in time, meaning there are still questions about ...
based on this we use the vectorrepresents the dependencies, which are described as directed edge connected between the tasks respectively. We takeas an example, wheredenotes the dependency between taskand taskmeaningis an immediate successor task of. We also formulate several principles of workflow ...
In asynchronous replication, different devices or nodes (e.g., multiple GPUs or machines) work independently to update the model parameters. Each device computes gradients based on its local data and then updates the model parameters asynchronously, meaning that updates can happen out of sync with...
Secondly, the reward function should be stable, meaning that the same action in similar environments should receive similar rewards. This improves the reliability and reproducibility of learning. The sparsity of the reward function is also an important consideration. Ideally, the reward function should...
Annotation is the process of assigning meaning to natural language text, which can apply to short phrases, long sentences, or entire paragraphs. It provides the AI model with essential information to learn the meaning or context of the text11. Text annotation parallels the data labeling procedure...