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» Learning Algorithms for Domain Adaptation
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FGCS
2006
114views more  FGCS 2006»
15 years 21 days ago
A semantic approach to discovering learning services in grid-based collaborative systems
CSCL systems can benefit from using grids since they offer a common infrastructure enabling the access to an extended pool of resources that can provide supercomputing capabilitie...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...
IJACDT
2011
125views more  IJACDT 2011»
14 years 4 months ago
Becoming Creative through Self Observation: A (Second Order) Cybernetic Learning Strategy for the Metaverse
This study wishes to describe some of the key components of an art educational domain entitled ground<c>, which is being developed specifically for three dimensional online ...
Elif E. Ayiter
128
Voted
UAI
2000
15 years 2 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
131
Voted
WEBI
2010
Springer
14 years 10 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
IJCAI
2001
15 years 2 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller