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ICALT
2006
IEEE
15 years 9 months ago
Composing Adaptive Learning Systems
Adaptive learning systems are recognized as one of the most interesting research topics in intelligent learning management systems. Taking as a point of departure the practices an...
Dirk Frosch-Wilke, Salvador Sánchez Alonso
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 3 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICML
2008
IEEE
16 years 4 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
ADBIS
2005
Springer
120views Database» more  ADBIS 2005»
15 years 9 months ago
Extensible Canonical Process Model Synthesis Applying Formal Interpretation
The current period of IT development is characterized by an explosive growth of diverse information representation languages. Applying integration and composition of heterogeneous ...
Leonid A. Kalinichenko, Sergey A. Stupnikov, Nikol...
ECOOPW
1997
Springer
15 years 7 months ago
Semantics Through Pictures
An object-oriented (OO) model has a static component, the set of allowable snapshots or system states, and a dynamic component, the set of filmstrips or sequences of snapshots. Dia...
Stuart Kent, Ali Hamie, John Howse, Franco Civello...