We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived fr...
We hypothesized that language modeling retrieval would improve if we reduced the need for document smoothing to provide an inverse document frequency (IDF) like effect. We create...
Publish/subscribe (pub/sub) middleware platforms for eventbased distributed systems often provide many configurable policies that affect end-to-end quality of service (QoS). Altho...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...