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IJCAI
2007
13 years 10 months 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
HF
2007
131views more  HF 2007»
13 years 9 months ago
Formal Analysis and Automatic Generation of User Interfaces: Approach, Methodology, and an Algorithm
In this paper we propose a formal approach and methodology for analysis and generation of human-machine interfaces, with special emphasis on human-automation interaction. Our appr...
Michael Heymann, Asaf Degani
ICML
2009
IEEE
14 years 10 months ago
Learning from measurements in exponential families
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
Percy Liang, Michael I. Jordan, Dan Klein
ICML
2008
IEEE
14 years 10 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
ICML
2006
IEEE
14 years 9 months ago
Semi-supervised nonlinear dimensionality reduction
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...