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ICML
2007
IEEE
16 years 7 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
193
Voted
ICML
2006
IEEE
16 years 7 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
WWW
2008
ACM
16 years 7 months ago
Web page rank prediction with markov models
In this paper we propose a method for predicting the ranking position of a Web page. Assuming a set of successive past top-k rankings, we study the evolution of Web pages in terms...
Michalis Vazirgiannis, Dimitris Drosos, Pierre Sen...
VLSID
2007
IEEE
130views VLSI» more  VLSID 2007»
16 years 7 months ago
Memory Architecture Exploration for Power-Efficient 2D-Discrete Wavelet Transform
The Discrete Wavelet Transform (DWT) forms the core of the JPEG2000 image compression algorithm. Since the JPEG2000 compression application is heavily data-intensive, the overall ...
Rahul Jain, Preeti Ranjan Panda
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