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CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 10 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
VLDB
2001
ACM
190views Database» more  VLDB 2001»
15 years 11 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
JUCS
2008
281views more  JUCS 2008»
15 years 6 months ago
Creating Adaptive e-Learning Board Games for School Settings Using the ELG Environment
: The use of digital games in education is well documented in the literature. They have been used in preschool, K-12, the university. A specific type of digital games is board game...
Symeon Retalis
ICCV
2007
IEEE
16 years 8 months ago
Learning priors for calibrating families of stereo cameras
Online camera recalibration is necessary for long-term deployment of computer vision systems. Existing algorithms assume that the source of recalibration information is a set of f...
Andrew W. Fitzgibbon, Duncan P. Robertson, Antonio...
APSEC
2007
IEEE
16 years 1 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...