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» The Dark Side of Object Learning: Learning Objects
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ICML
2004
IEEE
16 years 5 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
ICML
2000
IEEE
16 years 5 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
SEMCO
2009
IEEE
15 years 11 months ago
Ontology Extraction from Existing Educational Content to Improve Personalized e-Learning Experiences
Nowadays, the use of domain ontologies in e-Learning applications is rapidly increasing due to the important role they play in knowledge representation, sharing of didactical mate...
Nicola Capuano, Luca Dell'Angelo, Francesco Orciuo...
IAT
2006
IEEE
15 years 10 months ago
Learning Non-Unanimous Ontology Concepts to Communicate with Groups of Agents
We present an extension to the definition of a concept in an ontology that allows an agent to simultaneously communicate with a group of agents that might have different understa...
Mohsen Afsharchi, Behrouz H. Far, Jörg Denzin...
MM
2006
ACM
120views Multimedia» more  MM 2006»
15 years 10 months ago
Mapping learning in eigenspace for harmonious caricature generation
This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist’s creativity based on the object’s facial feature, our approach targets d...
Junfa Liu, Yiqiang Chen, Wen Gao