Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

Researchers at National Taiwan University have developed bioinspired composites that mimic bone and bamboo structures to improve strength and toughness simultaneously. Using artificial intelligence, ...

Abstract: In this letter, the recently developed extreme gradient boosting (Xgboost) classifier is implemented in a very high resolution (VHR) object-based urban land use-land cover application. In ...

Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation. We also release a list of papers about transfer-based attacks here. If our paper or this code is ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

As cyber threats grow more sophisticated by the day, UC Riverside researchers are making computing safer thanks to federally funded research that targets some of the internet’s most pressing security ...

Abstract: Deep neural networks(DNNs) have been demonstrated to be vulnerable to meticulously crafted adversarial examples. Transfer-based attacks do not require ...

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...