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SIGIR
2002
ACM
13 years 9 months ago
Bayesian online classifiers for text classification and filtering
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
Kian Ming Adam Chai, Hai Leong Chieu, Hwee Tou Ng
C5
2004
IEEE
14 years 1 months ago
Enabling Social Dimensions of Learning through a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environm
Existing online learning experiences lack the social dimension that characterizes learning in the real world. This social dimension extends beyond the traditional classroom into t...
Julian Lombardi, Mark P. McCahill
COLT
2008
Springer
13 years 12 months ago
Linear Algorithms for Online Multitask Classification
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
ICALT
2007
IEEE
13 years 12 months ago
An Evaluation of Automatic Text Categorization in Online Discussion Analysis
Content analysis is often employed by teachers and research to analyse online discussion forums to serve various purposes such as assessment, evaluation, and educational research....
Andrew Kwok-Fai Lui, Siu Cheung Li, Sheung-On Choy
NIPS
2004
13 years 11 months ago
Online Bounds for Bayesian Algorithms
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
Sham M. Kakade, Andrew Y. Ng