We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
One of the central problems of database integration is schema matching, that is, the identification of similar data elements in two or more databases or other data sources. Existin...
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Establishing an appropriate semantic overlay on peer-to-peer (P2P) networks to obtain both semantic ability and scalability is a challenge. Current DHT-based P2P networks are limit...