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ECAI
2008
Springer
13 years 11 months ago
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
EXPERT
2008
119views more  EXPERT 2008»
13 years 10 months ago
Building a Pragmatic Semantic Web
One of the great benefits that Semantic Web (SW) technology offers is facilitating large scale integration and sharing of distributed data sources. Transferring this technology fro...
Harith Alani, Peter Chandler, Wendy Hall, Kieron O...
AAAI
2006
13 years 11 months ago
Strategy Variations in Analogical Problem Solving
While it is commonly agreed that analogy is useful in human problem solving, exactly how analogy can and should be used remains an intriguing problem. VanLehn (1998) for instance ...
Tom Y. Ouyang, Kenneth D. Forbus
CORR
2002
Springer
166views Education» more  CORR 2002»
13 years 9 months ago
Quantum Time-Space Tradeoffs for Sorting
Abstract: Although a quantum state requires exponentially many classical bits to describe, the laws of quantum mechanics impose severe restrictions on how that state can be accesse...
Hartmut Klauck