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» Heterogeneous reasoning in learning to model
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CSL
2008
Springer
14 years 9 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
AAAI
2007
15 years 1 days ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
SSDBM
2000
IEEE
155views Database» more  SSDBM 2000»
15 years 2 months ago
Knowledge-Based Integration of Neuroscience Data Sources
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
SEMWEB
2009
Springer
15 years 2 months ago
Supporting Multi-view User Ontology to Understand Company Value Chains
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The a...
Landong Zuo, Manuel Salvadores, S. M. Hazzaz Imtia...
ICAIL
2007
ACM
15 years 1 months ago
Learning by diagramming Supreme Court oral arguments
This paper describes an intelligent tutoring system, LARGO, that helps students learn skills of legal reasoning with hypotheticals by analyzing oral arguments before the US Suprem...
Kevin D. Ashley, Niels Pinkwart, Collin Lynch, Vin...