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...
Introduction: The GST Council in India convenes periodically to discuss and refine tax structures. Each meeting brings forth a mix of positive and negative developments, often revealing new ironies and fallacies within the economy. This article sheds light on certain inconsistencies, focusing on the taxation of non-branded atta or wheat, the exemption of cricket games like IPL from GST, and the associated revenue generation. Taxing Essentials, Exempting Entertainment: One of the glaring ironies in the Indian tax system is the imposition of GST on non-branded atta or wheat, an essential commodity consumed by the poor. Despite the burden on those struggling to make ends meet, cricket, a form of entertainment, remains exempt from GST. The Board of Control for Cricket in India (BCCI), the governing body of cricket in India, enjoys tax-free status despite being the wealthiest cricket governing body globally. Example: A daily wage laborer, s...