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SUM
2010
Springer
13 years 7 months ago
Handling Inconsistency with Preference-Based Argumentation
Abstract. Argumentation is a promising approach for handling inconsistent knowledge bases, based on the justification of plausible conclusions by arguments. Due to inconsistency, ...
Leila Amgoud, Srdjan Vesic
AI
2004
Springer
13 years 8 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
CHI
2008
ACM
14 years 9 months ago
Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces
We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE...
Krzysztof Z. Gajos, Jacob O. Wobbrock, Daniel S. W...
ACL
2012
11 years 11 months ago
Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection
This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
Jinho D. Choi, Martha Palmer
IJCAI
1997
13 years 10 months ago
Learning to Improve both Efficiency and Quality of Planning
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Tara A. Estlin, Raymond J. Mooney