Abstract. The problem of self-optimization and adaptation in the context of customizable systems is becoming increasingly important with the emergence of complex software systems a...
In this paper, we present an online citation entry clustering system based on three-tier clustering. The objective is to further process search results returned by bibliography dat...
A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP is presented in this paper. Such a framework allows u...
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...