with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...

The web explosion has led Information Retrieval (IR) to be extended and web search engines emergence. The conventional IR methods, usually intended for simple textual searches, faced new documents types and rich and scalable contents. The user, facing these evolutions, asks more for IR systems search results quality. In this context, the personalization main objective is improving results retur...

This paper describes our participation in INEX 2002 (the XML Retrieval Initiative) and discusses several aspects of our XML retrieval system: the retrieval model, the document indexing and manipulation scheme and our preliminary evaluation results of the submitted three runs. In our system, we have used a probabilistic retrieval model where we map (structural) properties of documents to dimensi...

This extended abstract describes the system proposed for MIREX (Music Information Retrieval Evaluation eXchange) 2007 in the Multiple Fundamental Frequency Estimation and Tracking contest. This system estimates the concurrent F0s at each single analysis frame of polyphonic signals without information from neighboring frames. Therefore, the proposed system is submitted for single frame evaluation.