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» Bayesian Inference for Sparse Generalized Linear Models
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TSP
2008
146views more  TSP 2008»
15 years 1 months ago
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
Rafal Zdunek, Andrzej Cichocki
JCB
2000
146views more  JCB 2000»
15 years 1 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
KES
2007
Springer
15 years 8 months ago
Credal Networks for Operational Risk Measurement and Management
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...
Alessandro Antonucci, Alberto Piatti, Marco Zaffal...
ISSTA
2010
ACM
15 years 3 months ago
Causal inference for statistical fault localization
This paper investigates the application of causal inference methodology for observational studies to software fault localization based on test outcomes and profiles. This methodo...
George K. Baah, Andy Podgurski, Mary Jean Harrold
101
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CVPR
2010
IEEE
15 years 10 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto