We propose a Bayesian extension to the ad-hoc Language Model. Many smoothed estimators used for the multinomial query model in ad-hoc Language Models (including Laplace and Bayes-...
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing t...
In this work, we present the results of a comparative user study evaluating multimodal user interactions with regard to two different operation scenarios: a desktop Virtual-Reality...
Frank Althoff, Gregor McGlaun, Manfred K. Lang, Ge...
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang