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» Feature Selection from Huge Feature Sets
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FIW
2009
134views Communications» more  FIW 2009»
15 years 4 months ago
Feature Diagrams for Change-Oriented Programming
Abstract. The idea of feature-oriented programming is to map requirements to features, concepts that can be composed to form a software product. Change-oriented programming (ChOP),...
Peter Ebraert, Andreas Classen, Patrick Heymans, T...
IROS
2006
IEEE
119views Robotics» more  IROS 2006»
16 years 15 days ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 10 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
CATE
2004
133views Education» more  CATE 2004»
15 years 7 months ago
Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment
The role of assessment and evaluation has recently changed in a way which will have fundamental consequences in applying information and communication technologies (ICTs) to analy...
Tuomo Kakkonen, Niko Myller, Erkki Sutinen
ICPR
2006
IEEE
16 years 7 months ago
An Empirical Model for Saturation and Capacity in Classifier Spaces
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Robert B. Fisher