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» Using Decision Trees to Construct a Practical Parser
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PAKDD
2004
ACM
108views Data Mining» more  PAKDD 2004»
14 years 25 days ago
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us t...
Dan A. Simovici, Szymon Jaroszewicz
IDA
2000
Springer
13 years 7 months ago
Induction of decision trees in numeric domains using set-valued attributes
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
Dimitrios Kalles, Athanassios Papagelis, Eirini Nt...
EMNLP
2007
13 years 9 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
ML
2010
ACM
159views Machine Learning» more  ML 2010»
13 years 5 months ago
Algorithms for optimal dyadic decision trees
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
Don R. Hush, Reid B. Porter
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Softening Splits in Decision Trees Using Simulated Annealing
Predictions computed by a classification tree are usually constant on axis-parallel hyperrectangles corresponding to the leaves and have strict jumps on their boundaries. The densi...
Jakub Dvorák, Petr Savický