Latent Semantic Indexing (LSI) is a well established and effective framework for conceptual information retrieval. In traditional implementations of LSI the semantic structure of...
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
This paper describes the simulation of a foraging agent in an environment with a simple ecological structure, alternatively using one of three different control systems with varyi...
This paper describes cross-language informationretrieval experiments carried out for TREC-6. Our retrieval method, cross-language latent semantic indexing CL-LSI, is completely ...
Bob Rehder, Michael L. Littman, Susan T. Dumais, T...