Support Vector Approach for Classification and Regression Problems in Misclassified Data Produce Sparse Solution

Provided by: Global Institute for Research & Education (GIFRE)
Topic: Data Management
Format: PDF
Machine learning is considered as a subfield of artificial intelligence and it is concerned with the development of techniques and methods which enable the computer to learn. Hence, the goal of learning was to output a hypothesis that performed the correct classification of the training data and early learning algorithms were designed to find such an accurate fit to the data. Since then SVMs (Support Vector Machines) have been successfully applied to real-world data analysis problems, often providing improved results compared with other techniques.

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