GPR works well with small datasets and generates a metric of confidence of a predicted result, but it's moderately complex and the results are not easily interpretable, says Dr. James McCaffrey of ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...
Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...