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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 3 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
115
Voted
ITS
2004
Springer
99views Multimedia» more  ITS 2004»
15 years 8 months ago
Promoting Effective Help-Seeking Behavior Through Declarative Instruction
The ability to use help-resources efficiently is an important skill in any learning environment, whether the student is in a traditional classroom or is using an Intelligent Tutor...
Ido Roll, Vincent Aleven, Kenneth R. Koedinger
IJCAI
2003
15 years 4 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
ICCV
2009
IEEE
16 years 8 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
100
Voted
CVPR
2006
IEEE
16 years 5 months ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...