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ML
2007
ACM
156views Machine Learning» more  ML 2007»
14 years 9 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
ACMACE
2005
ACM
15 years 3 months ago
Motivation-driven educational game design: applying best practices to music education
Building upon research on motivation theory, we provide insights on how video games can be framed as expert tools that naturally reconcile learning and fun, a worthy goal since st...
Guillaume Denis, Pierre Jouvelot
ICSE
2008
IEEE-ACM
15 years 10 months ago
Best practices in extreme programming course design
Teaching (and therefore learning) eXtreme Programming (XP) in a university setting is difficult because of course time limitations and the soft nature of XP that requires first-ha...
Kai Stapel, Daniel Lübke, Eric Knauss
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 3 months ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean
CIDM
2007
IEEE
15 years 4 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf