Alexander historiatus : a guide to medieval illustrated - download pdf or read online

By Ross, David John Athole

ISBN-10: 361009012X

ISBN-13: 9783610090128

Alexander Historiatus isn't just what its subtitle indicates, i.e. a consultant to illustrated manuscripts and early published versions of the Alexander literature of Antiquity and the center a while. it's also a survey of all of the Alexander literature produced in the course of those as such, because it systematically provides each vital model of the Alexander tale even if it's present in illustrated shape. furthermore, it presents a easy bibliography for every textual content, together with the textual content versions.

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10 Concept of semi-supervised learning • Closely guided versus remotely observed learning: Closely guided learning is one where every activity and instance are watched very closely. It does look for micro details and gets those investigated. It tries to correct every mistake immediately. Knowledge acquisition based learning is typically closely guided 36 2 Understanding Machine Learning Opportunities (a) Semi-supervised passive Learning approach Unlabeled data Passive Evaluation Update and learn Selection of data samples Classifier learn labeled samples (b) Semi-supervised active Learning approach Unlabeled data Update and learn Selection of data samples Classifier learn Supervisor labeled samples Fig.

Let us try to understand different learning aspects with reference to knowledge discovery. 1. Contextual knowledge discovery: Contextual knowledge is knowledge that is relevant and important to understand situated problem. The contextual knowledge discovery deals with discovering situation specific knowledge. 2. Event-based knowledge discovery: Event-based knowledge discovery focuses on a particular event and builds knowledge to solve problem based on that event. 3. Pattern-based knowledge discovery: The events may not be enough to form judgment and may lead to wrong decisions.

These points are associated to build overall learning opportunity. These opportunities are ranked in terms of importance, criticality, and freedom. So learnability is on set of provided limited data for learning coming up with better results, surprising solutions, and novel answers. Let D be the data set for learning and is provided in the context of problem P. For a new scenario N if learning algorithm comes up with m solutions or partial solutions such that relevance of these solutions is greater than threshold T and association index with obvious solutions is below R.

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Alexander historiatus : a guide to medieval illustrated Alexander literature by Ross, David John Athole


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