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ECTEL
2006
Springer
13 years 10 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
ICML
2008
IEEE
14 years 7 months ago
Hierarchical sampling for active learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta, Daniel Hsu
ICML
2005
IEEE
14 years 7 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
ECML
2007
Springer
14 years 27 days ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 10 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang