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» Learning Rules and Their Exceptions
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GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 5 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
15 years 5 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
112
Voted
COLING
2002
15 years 1 months ago
Inducing Information Extraction Systems for New Languages via Cross-language Projection
Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each na...
Ellen Riloff, Charles Schafer, David Yarowsky
JMLR
2002
144views more  JMLR 2002»
15 years 1 months ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
118
Voted
CVPR
2008
IEEE
16 years 3 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja