We suggest a variation of the Hellerstein-Koutsoupias--Papadimitriou indexability model for datasets equipped with a similarity measure, with the aim of better understanding the s...
All pairs similarity search is the problem of finding all pairs of records that have a similarity score above the specified threshold. Many real-world systems like search engine...
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to de...
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...