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Unleashing the Power of Pre-existing Knowledge in Machine Learning : K-Based Classifiers

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...

Demystifying Ground Truth, Gold Standard, and Benchmark Terms in Image and Machine Learning

 Building a ground truth image is an important task in many image classification projects, especially in medical imaging or in projects that require expertise in labeling objects. However, for many other tasks, such as classifying vegetation in an image, building a labeled image can be easy and simple with the help of unsupervised learning models.                                                                       Ground truth refers to a set of measurements or conditions that serve as a benchmark or target for a classification system or machine learning algorithm. Here are some examples of what ground truth can mean in different contexts: In object recognition, ground truth can refer to a set of labeled images that have been manually annotated by human experts. These label...

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The Three Ingredient Cow Dung Brick Formula

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The Road to True Progress: Reframing the Narrative of India's Transformation

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Complex Co-Existence of Pakistan and India

 Intricacies of the Relationship Explored Pakistan and India share a rich yet intricate history that has spanned decades. These two nations have been entwined in a rivalry characterized by animosity and tension. The origins of this animosity lie deep within the historical narratives of both countries.  In the modern era, the propagation of misinformation and propaganda, primarily through social media and other digital avenues, has fueled and intensified this antagonistic sentiment. Propaganda's Disturbing Consequences:  Impact on Youth and Society The most disconcerting aspect of this propaganda is its influence on the younger generation. Pakistani children, from a tender age, are exposed to content that portrays India and its people in a negative light. These messages are carefully crafted to demonize  India and those who follow religions different from Islam. This deliberate manipulation plants seeds of enmity and hostility within impressionable minds, fostering a ...