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Indus Learning Framework(ILF)The indus learning framework is a suite of machine learning algorithms that learn from datasets using sufficient statistics. This framework is particularly useful in the following scenarios: When the data set is huge and the it cannot be fit into memory (e.g arff ... [More]
An implementation of CNN and PNN prototype reduction schemes using Java, targeting large data sets, as suggested on "Enhancing Protorype Reduction Schemes With Recursion: A Method Applicable for "Large" Data Sets" by Sang-Woon Kim and B. John Oommen.
The Skip Trees is engineered by tailoring existing data structures i.e. 2-3 trees and Skiplists. Skip Trees (Fig 1) are explained using Pugh’s SkipList and 2-3 trees in this document. Each node in a SkipList points to the root of a 2-3 tree.2-3 Trees can be considered as a data elements in ... [More]