Machine learning is essentially the sciences of playing with data. An adaptive data selection strategy, enabling to dynamically choose different data at various training stages, can reach a more effective model in a more efficient way. In this paper, we propose a deep reinforcement learning framework, which we call Neural Data Filter (NDF), to explore automatic and adaptive data selection in th...

Broadly characterized, learning can improve problem-solving performance by increasing its efficiency and effectiveness, and by improving the quality of produced solutions. Traditional AI systems have limited the role of learning to the first two performance-improvement goals. We have developed a reflection process that uses a model of the system’s functional architecture to monitor its performa...

Film scholar and video essayist Johannes Binotto analyzes several of what he calls "practices viewing." We might also call them techniques videographic thought. As performers practitioners who work with our own bodies in audiovisual form… What can we learn from these developments scholarship? When cut bodies, it sometimes hurt. should look for ways to care — every cut.

TextCNN, the convolutional neural network for text, is a useful deep learning algorithm for sentence classification tasks such as sentiment analysis and question classification[2]. However, neural networks have long been known as black boxes because interpreting them is a challenging task. Researchers have developed several tools to understand a CNN for image classification by deep visualizatio...

We study the generalization abilities of networks that are composed of boolean nodes, i.e., nodes that implement only basic boolean functions: and, or and not. The majority of the network learning algorithms proposed so far generate networks where each node implements a threshold function and are inappropriate for the generation of boolean networks from training set data. We propose an algorith...

W e learnt that the development of the intestinal microbiota (IM) is extremely complex and a giant puzzle to piece together from adults and children in both developing and developed countries, or more experimentally. Each piece may or may not have future consequences for the IM. However, we are now at the end of the beginning of finishing just one microbiological puzzle. Additionally, we have t...

Learning: Sunburn o r Behavioral Change. Scientists are beginning to develop an image of the optimal learning situation. The teacher may not be surprised to discover that current and traditional pedagogical techniques a re greatly a t variance with this image. Many teachers continue to be burdened with the "sunburn" model of learning. knowledge, light, (and, occasionally, heat) "exposes" studen...