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.

Researchers ran AI training on HIVE's Paraguay GPUs and found performance matched Nvidia's H100 chips, validating its ...

Institutions are racing to deploy AI-driven technologies to streamline operations and accelerate decision-making, but adoption often outpaces understanding.

A five-month audit near the Louisiana Industrial Corridor finds that low-cost Air Quality Index (AQI) sensors exhibit a systematic bias of 14.87% in high-humidity conditions, as atmospheric moisture ...

Abstract: The critical point for the success of spectral-type subspace clustering algorithms is to seek reconstruction coefficient matrices that can faithfully reveal the subspace structures of data ...

Immunotherapy has changed the standard of care in cancer treatment, but an estimated 87% of patients currently do not derive long-term benefit from immune checkpoint blocker monotherapy. Therefore, ...

Key words: Multimodal large language model, Model merging, Multi-task learning, Parameter-efficient tuning, Robust fine-tuning. TL;DR: An effective parameter-efficient model merging method for ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

Primary biliary cholangitis is a rare, chronic cholestatic liver disease characterized by the destruction of interlobular bile ducts, leading to cholestasis and liver fibrosis. Whether elafibranor, an ...

Abstract: We develop an algorithm for localizing and estimating electrically small targets using sparse processing framework and vector electric-field measurements. To model the sources of ...