Whereas the latter acquire general knowledge using inductive methods, mathematical knowledge appears to be acquired in a different way: by deduction from basic principles.
His suggested examples of a priori knowledge knowing things about an object before one has a chance to observe it—seem more likely to be instances of knowledge by inductive reasoning.
Nicoletti et al. [8] presented the following application examples: creation of machine learning methods, knowledge representation, inductive reasoning, data mining, processing of imperfect or incomplete information, pattern recognition, and discovery of knowledge in databases.
The framework is used to review, classify and analyse key existing approaches to incorporating domain knowledge into inductive machine learning, as well as to consider the risks of doing so.
Analysis was both deductive, with categories derived from prior knowledge, and inductive, with categories emerging purely from the data [ 19].
The general strategy is to show that sensory knowledge rests on inductive knowledge, that inductive knowledge rests on self-evident knowledge, and that introspective knowledge can be defended as analogous to self-evident knowledge.
The derivation would work just as well if this were inductive knowledge derived from a posteriori observation of temperatures.
Objective: To analyze the effect of expert knowledge on the inductive learning process in creating classifiers for medical text reports.
Background knowledge reduces the inductive complexity of a problem; with enough background knowledge, the problem crosses the threshold between the unsolvable and the solvable.
The question arises, does the semantic web support knowledge generation through inductive reasoning processes where the knowledge framework evolves out of exploratory based behavior of the novice-learner?
