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» The Dark Side of Object Learning: Learning Objects
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ICML
2004
IEEE
16 years 8 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 8 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
16 years 1 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
16 years 1 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»
16 years 1 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