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...
Exploring the Paradox of Academic Excellence and Real-World Incompetence Unraveling the Dichotomy of Academic Brilliance and Practical Inefficiency Over the years, I have had the privilege of interacting with a diverse array of students, ranging from mature learners, parent-students, to research scholars. These individuals, adept at navigating their professional lives, often exhibit a unique perspective towards education, viewing it as a communal activity or a sacred journey of enlightenment and progress. However, a striking observation that emerges from my interactions with these research scholars and students is their ability to circumvent the conventional education system to achieve their academic goals. This phenomenon is not a reflection of their intellectual prowess but rather an indication of their survival instinct in a system that values degrees over knowledge. For instance, many of these students have been nurtured by 'helicopter paren...