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ACSW
2004
15 years 7 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
AI
2004
Springer
15 years 6 months ago
ASSAT: computing answer sets of a logic program by SAT solvers
We propose a new translation from normal logic programs with constraints under the answer set semantics to propositional logic. Given a normal logic program, we show that by addin...
Fangzhen Lin, Yuting Zhao
CVPR
2006
IEEE
16 years 8 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
SIGIR
2003
ACM
15 years 11 months ago
SETS: search enhanced by topic segmentation
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Mayank Bawa, Gurmeet Singh Manku, Prabhakar Raghav...
AUSAI
1999
Springer
15 years 10 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank