Abstract: In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited training samples.

Abstract: Less training samples are a challenging problem in hyperspectral image classification. Active learning and semisupervised learning are two promising techniques to address the problem. Active ...

If you’re looking to get into Daggerheart, then Critical Role is here to help you with Get Your Sheet Together, a new YouTube video series for folks who want to get into this game. According ...

Department of Chemistry, College of Arts and Sciences, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy and Department of Pharmacology, School of Medicine, ...

A population balance modeling (PBM) approach, parameter estimation, and validation were obtained for the batch cooling crystallization of potassium sulfate in water ... process to develop a ...

The Fund seeks to provide an increase in the value of investments over the long-term (more than 5 years). The Fund is an active fund and may use a multi-manager structure. Each investment adviser uses ...

A playground of highly experimental prompts, tools & scripts for machine intelligence models from Apple, DeepSeek, OpenAI, Anthropic, Meta, Mistral, Google, xAI & others. Created & maintained by Alex ...

For those of us who are introverts most of the time, active learning in the form of group work and discussion can lead us to shut down and choose to teach ourselves the content later, in quiet ...

The scheme seeks to generate optimal returns over medium term by investing primarily in debt oriented mutual fund schemes and arbitrage funds. Consumer Staples 0.15 0.15 Equity 0.13 Debt 70.69 Others ...