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» Mining for Useful Association Rules Using the ATMS
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NIPS
2007
13 years 9 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
ML
2008
ACM
13 years 7 months ago
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Geoffrey I. Webb
FMSD
2007
138views more  FMSD 2007»
13 years 7 months ago
Object oriented concepts identification from formal B specifications
This paper addresses the graphical representation of static aspects of B specifications, using UML class diagrams. These diagrams can help understand the specification for stakeho...
Akram Idani, Yves Ledru
ICDAR
2009
IEEE
14 years 2 months ago
Utilizing Consistency Context for Handwritten Mathematical Expression Recognition
This paper presents a rule-based approach that utilizes some types of contextual information to improve the accuracy of handwritten mathematical expression(ME) recognition. Mining...
Kang Kim, Taik-Heon Rhee, Jae Seung Lee, Jin Hyung...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 2 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...