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» Semi-supervised Learning from General Unlabeled Data
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AI
1998
Springer
14 years 8 days ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
ICML
2009
IEEE
14 years 8 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
ATAL
2007
Springer
14 years 2 months ago
An agent-based methodology for analyzing and visualizing educational assessment data
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrat...
Elizabeth Sklar, Jordan Salvit, Christopher Camach...
EDM
2010
125views Data Mining» more  EDM 2010»
13 years 9 months ago
Where in the World? Demographic Patterns in Access Data
As learning environments become increasingly available online, the fine-grained records of user activities can be captured and analyzed (generally called webmetrics) to better unde...
Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garr...
PAMI
2008
196views more  PAMI 2008»
13 years 8 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...