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COLT
2008
Springer
15 years 5 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
116
Voted
ACL
2007
15 years 5 months ago
A fully Bayesian approach to unsupervised part-of-speech tagging
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
Sharon Goldwater, Tom Griffiths
AIA
2007
15 years 5 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
HCI
2007
15 years 5 months ago
Detailed Monitoring of User's Gaze and Interaction to Improve Future E-Learning
In this paper, we investigate how to use future interaction technologies to enhance learning technologies. We examine in detail how tracking the mouse pointer and observing the use...
Heiko Drewes, Richard Atterer, Albrecht Schmidt
116
Voted
ICMLA
2008
15 years 5 months ago
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...