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CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
LREC
2010
151views Education» more  LREC 2010»
13 years 9 months ago
Training Parsers on Partial Trees: A Cross-language Comparison
We present a study that compares data-driven dependency parsers obtained by means of annotation projection between language pairs of varying structural similarity. We show how the...
Kathrin Spreyer, Lilja Øvrelid, Jonas Kuhn
BSN
2009
IEEE
149views Sensor Networks» more  BSN 2009»
14 years 2 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...
SPIRE
2010
Springer
13 years 6 months ago
Training Parse Trees for Efficient VF Coding
Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tats...
FOSSACS
2001
Springer
14 years 3 days ago
On the Modularity of Deciding Call-by-Need
In a recent paper we introduced a new framework for the study of call by need computations. Using elementary tree automata techniques and ground tree transducers we obtained simple...
Irène Durand, Aart Middeldorp