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...
Many Indian scholars who embark on a PhD journey may face challenges such as navigating a complex system of fellowships, dealing with exploitation, and encountering a preference for foreign-trained individuals. This article explores the challenges faced by Indian academia and the reasons why some Indian scholars are opting to pursue their PhDs overseas. In the world of academia, the pursuit of a PhD is often seen as the pinnacle of intellectual achievement. However, in India, this journey is fraught with challenges that go beyond the rigors of research. Stories of student exploitation by guides, irregular fellowships, and a preference for foreign-trained individuals over Indian PhDs are all too common. For some, a PhD is seen as a way to prolong their stay in the university campus when job prospects are bleak. However, this is a far cry from the West, where a PhD is a result-oriented program, decently funded, and offers better career opportunities in the private sector. The ...