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» Statistical Learning Theory: A Primer
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NIPS
2008
13 years 9 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 6 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
KDD
2008
ACM
193views Data Mining» more  KDD 2008»
14 years 8 months ago
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
BMCBI
2005
151views more  BMCBI 2005»
13 years 7 months ago
stam - a Bioconductor compliant R package for structured analysis of microarray data
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
Claudio Lottaz, Rainer Spang
WWW
2004
ACM
14 years 8 months ago
Anti-aliasing on the web
It is increasingly common for users to interact with the web using a number of different aliases. This trend is a doubleedged sword. On one hand, it is a fundamental building bloc...
Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins