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» How to process uncertainty in machine learning
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CIKM
2005
Springer
14 years 2 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
ECAI
2006
Springer
14 years 15 days ago
Automatic Generation of Implied Constraints
Abstract. A well-known difficulty with solving Constraint Satisfaction Problems (CSPs) is that, while one formulation of a CSP may enable a solver to solve it quickly, a different ...
John Charnley, Simon Colton, Ian Miguel
EXACT
2007
13 years 11 months ago
PML 2: A Modular Explanation Interlingua
In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering sys...
Deborah L. McGuinness, Li Ding, Paulo Pinheiro da ...
COMBINATORICA
2010
13 years 6 months ago
Online vertex-coloring games in random graphs
Consider the following one-player game. The vertices of a random graph on n vertices are revealed to the player one by one. In each step, also all edges connecting the newly reveal...
Martin Marciniszyn, Reto Spöhel
WWW
2009
ACM
14 years 9 months ago
Automatically assessing resource quality for educational digital libraries
With the rise of community-generated web content, the need for automatic assessment of resource quality has grown, particularly in the realm of educational digital libraries. We d...
Philipp G. Wetzler, Steven Bethard, Kirsten R. But...