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ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 11 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
14 years 2 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
16 years 15 days ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 12 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
SEKE
2001
Springer
15 years 11 months ago
Adapting Game Technology to Support Individual and Organizational Learning
It is well known that traditional educational techniques can be complemented by simulation to achieve a more effective learning experience. One would expect the same phenomenon to...
Emily Oh Navarro, André van der Hoek