Sciweavers

238 search results - page 42 / 48
» Separating Models of Learning from Correlated and Uncorrelat...
Sort
View
EUROSYS
2010
ACM
14 years 2 months ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen
CVPR
2007
IEEE
14 years 10 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
NIPS
2003
13 years 10 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
TNN
2008
181views more  TNN 2008»
13 years 8 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
ECTEL
2007
Springer
14 years 2 months ago
The Everlasting Dawn of Educational Brokers - A Search for Key Design Principles
In the last couple of years we have evidenced several initiatives promoting the vision of open educational systems. Educational brokers are supposed to take advantage of this ‘in...
Bernd Simon, Petra Oberhumer, Robert Kristöfl