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» Learning with dynamic group sparsity
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JMLR
2012
12 years 1 months ago
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
14 years 9 days ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
IADIS
2003
14 years 8 days ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
CVPR
2009
IEEE
15 years 6 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ICWL
2003
Springer
14 years 4 months ago
Perspectives on Creativity in Web learning
Creativity is an important asset in today’s fast changing environment. We believe it can and should be stimulated in educational environments, through the use of tools and carefu...
Adriana Santarosa Vivacqua, Francisco Mattos, Albe...