The resulting machine-learning model would be a dog spotter. You would feed it an image ... represents a dog. Any of the three components of a machine-learning system can be hidden, or in a black box.

A neural field network can create a continuous 3D model from ... developed a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images that were ...

The resulting machine-learning model would be a dog spotter. You would feed it an image ... represents a dog. Any of the three components of a machine-learning system can be hidden, or in a black box.

But what happens when a machine-learning algorithm ... works more like a black-box approach. However, depending on the structure of the algorithm, a UML model can actually be fully explainable.

The resulting machine-learning model would be a dog spotter. You would feed it an image ... represents a dog. Any of the three components of a machine-learning system can be hidden, or in a black box.

Other studies have shown that making imperceptible changes to an image ... model stealing, also called model extraction, involves an adversary probing a “black box” machine learning system ...

Microsoft updated its machine learning dev tooling with ML.NET ... excited to announce the Text Classification scenario in Model Builder powered by the ML.NET Text Classification API." [Click on image ...

Scientists have decoded visual images from a dog's brain ... They then used a machine-learning algorithm to analyze the patterns in the neural data. "We showed that we can monitor the activity ...