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» On Using Learning Curves to Evaluate ITS
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ECML
2004
Springer
14 years 1 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
ICAIL
2003
ACM
14 years 1 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley
AAAI
1996
13 years 9 months ago
Source Selection for Analogical Reasoning: An Empirical Approach
of it suffer from a number of limitations, including: The effectiveness of an analogical reasoner depends upon its ability to select a relevant analogical source. In many problem d...
William A. Stubblefield, George F. Luger
JMLR
2010
367views more  JMLR 2010»
13 years 2 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
SSD
2009
Springer
193views Database» more  SSD 2009»
14 years 2 months ago
Query Integrity Assurance of Location-Based Services Accessing Outsourced Spatial Databases
Outsourcing data to third party data providers is becoming a common practice for data owners to avoid the cost of managing and maintaining databases. Meanwhile, due to the populari...
Wei-Shinn Ku, Ling Hu, Cyrus Shahabi, Haixun Wang