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...
In the bustling markets of India, the price of a simple loaf of white bread, once a mere 15-20 Rs, has doubled to 30-50 Rs in just a few years. This seemingly trivial change is a stark reminder of the escalating cost of living in India's urban centers. If you find yourself grappling with rising expenses, here are some crucial insights to help you understand and navigate this economic landscape. 1. The Urban Price Surge: Major cities in India are becoming increasingly expensive. With limited land and an influx of capital into the country, land prices are soaring. For instance, construction costs in Goa have risen by approximately 25-30% recently. This increase directly impacts the prices of virtually everything. In the realm of traditional economics, the means of production are defined as Land, Labour, and Capital. When the cost of land escalates, it triggers a domino effect, causing a rise in rent, business costs, and more. While the prices of flats in big cities may not sky...