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MLDM
2007
Springer
15 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
SGAI
2007
Springer
15 years 3 months ago
Extending Jess to Handle Uncertainty
Computer scientists are often faced with the challenge of having to model the world and its associated uncertainties. One area in particular where modelling uncertainty is importa...
David Corsar, Derek H. Sleeman, Anne McKenzie
ALT
2009
Springer
15 years 1 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
AAAI
2006
14 years 11 months ago
An Investigation into the Feasibility of the Semantic Web
This report is an expanded version of a paper in AAAI-2006 proceedings. In this report, we investigate the challenges that must be addressed for the Semantic Web to become a feasi...
Zhengxiang Pan, Abir Qasem, Jeff Heflin
TRUST
2010
Springer
15 years 2 months ago
Token-Based Cloud Computing
Secure outsourcing of computation to an untrusted (cloud) service provider is becoming more and more important. Pure cryptographic solutions based on fully homomorphic and verifia...
Ahmad-Reza Sadeghi, Thomas Schneider 0003, Marcel ...