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PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 3 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
C5
2004
IEEE
15 years 2 months ago
Design for an Extensible Croquet-Based Framework to Deliver a Persistent, Unified, Massively Multi-User, and Self-Organizing Vir
We describe a design for a collaborative Virtual Learning Environment (VLE) to support massively multi-user and multi-institutional learning communities. This architecture extends...
Mark P. McCahill, Julian Lombardi
FGR
2004
IEEE
238views Biometrics» more  FGR 2004»
15 years 2 months ago
Nearest Manifold Approach for Face Recognition
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
Junping Zhang, Stan Z. Li, Jue Wang
FLAIRS
2008
15 years 21 days ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
73
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DAGSTUHL
2003
14 years 11 months ago
The Need to Adapt and Its Implications for Embodiment
We present the hypothesis that an important factor for the choice of a particular embodiment for a natural or artificial agent is the effect of the embodiment on the agent’s ab...
Lukas Lichtensteiger