— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Detection of template and noise blocks in web pages is an important step in improving the performance of information retrieval and content extraction. Of the many approaches propos...
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
Abstract. Many SQL queries with aggregated subqueries exhibit redundancy (overlap in FROM and WHERE clauses). We propose a method, called the for-loop, to optimize such queries by ...