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FOIS
2008
15 years 7 months ago
Cognitive Context and Arguments from Ontologies for Learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In this work we assume that lea...
Christiana Panayiotou, Brandon Bennett
UAI
1998
15 years 7 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
IJCV
2000
225views more  IJCV 2000»
15 years 6 months ago
Depth from Defocus vs. Stereo: How Different Really Are They?
Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and ...
Yoav Y. Schechner, Nahum Kiryati
AUSDM
2007
Springer
185views Data Mining» more  AUSDM 2007»
16 years 15 days ago
An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
Argumentation allows agents to exchange additional information to argue about their beliefs and other mental attitudes during the negotiation process. Utterances and subsequent obs...
Khandaker Shahidul Islam
COLT
2005
Springer
15 years 12 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...