Knowledge-Based Classification Algorithms Knowledge-Based Classification Algorithms Knowledge-based classification algorithms refer to a category of machine learning algorithms that employ pre-existing knowledge or rules to classify novel instances or data points. The algorithms in question are dependent on a knowledge base, which is a compilation of established patterns, rules, or associations among attributes, for the purpose of predicting outcomes or assigning class designations to unobserved data. In contrast to conventional classification algorithms that acquire patterns or rules directly from the training data, knowledge-based classification algorithms utilise pre-existing knowledge or domain expertise to steer the classification procedure. Pre-existing knowledge can be sourced from human experts or obtained from pre-existing resources such as databases, ontologies, or expe...
Myths on Composting Container/Pits Design Are you interested in composting but unsure about which container or pit design to use? There are many myths surrounding composting container and pit designs that may be preventing you from starting your composting journey. Learn the truth about composting container and pit designs and start turning your organic waste into nutrient-rich soil. Composting is a fantastic way to reduce waste and enrich soil health in a garden or farm. However, there are many misconceptions about the design and use of composting containers and pits. In this article, we will discuss some common myths about composting container design and pits and debunk them with scientific facts. Don' t make such Pits Myth #1: Composting containers and pits need to be ...