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CSDA
2006
94views more  CSDA 2006»
13 years 11 months ago
The nature of sensitivity in monotone missing not at random models
Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
APPROX
2005
Springer
80views Algorithms» more  APPROX 2005»
14 years 4 months ago
On Learning Random DNF Formulas Under the Uniform Distribution
Abstract: We study the average-case learnability of DNF formulas in the model of learning from uniformly distributed random examples. We define a natural model of random monotone ...
Jeffrey C. Jackson, Rocco A. Servedio
IJCAI
2007
14 years 9 days ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
AAAI
2006
14 years 8 days ago
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluat...
Kevin Regan, Pascal Poupart, Robin Cohen
COLING
2010
13 years 5 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn