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» CC Prediction with Graphical Models
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DCC
2009
IEEE
14 years 6 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
CGF
2007
98views more  CGF 2007»
13 years 6 months ago
Distance-Ranked Connectivity Compression of Triangle Meshes
We present a new, single-rate method for compressing the connectivity information of a connected 2-manifold triangle mesh with or without boundary. Traditional compression schemes...
Patrick Marais, James E. Gain, D. Shreiner
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
IUI
2004
ACM
13 years 11 months ago
What role can adaptive support play in an adaptable system?
As computer applications become larger with every new version, there is a growing need to provide some way for users to manage the interface complexity. There are three different ...
Andrea Bunt, Cristina Conati, Joanna McGrenere
GD
2005
Springer
13 years 11 months ago
Network Analysis and Visualisation
A workshop on Network Analysis and Visualisation was held on September 11, 2005 in Limerick Ireland, in conjunction with 2005 Graph Drawing conference. This report review the backg...
Seok-Hee Hong