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» Structured Sparsity in Structured Prediction
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BIOCOMP
2006
15 years 6 months ago
An Approach to Selecting Putative RNA Motifs Using MDL Principle
The history of molecular biology is punctuated by a series of discoveries demonstrating the surprising breadth of biological roles of ribonucleic acid (RNA). An ensemble of evoluti...
Mohammad Anwar, Marcel Turcotte
IPPS
2007
IEEE
15 years 11 months ago
Leakage Energy Reduction in Value Predictors through Static Decay
As process technology advances toward deep submicron (below 90nm), static power becomes a new challenge to address for energy-efficient high performance processors, especially for...
Juan M. Cebrian, Juan L. Aragón, José...
NPL
2011
14 years 7 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
16 years 2 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
ETVC
2008
15 years 6 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...