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LREC
2010
216views Education» more  LREC 2010»
14 years 11 months ago
Automatic Grammar Rule Extraction and Ranking for Definitions
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
Claudia Borg, Mike Rosner, Gordon J. Pace
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 10 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
ICDE
2000
IEEE
96views Database» more  ICDE 2000»
15 years 11 months ago
Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning
Dynamic Miss-Countingalgorithms are proposed, which find all implication and similarity rules with confidence pruning but without support pruning. To handle data sets with a large...
Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani
CSO
2009
IEEE
15 years 4 months ago
Association Rules Based Data Mining on Test Data of Physical Health Standard
With the development of modern electronic and computer technologies, sports training and competition became more and more technical. A great deal of data were recorded, including ...
Lan Yu
ICDAR
2009
IEEE
15 years 4 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke