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TMI
2010
182views more  TMI 2010»
13 years 8 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
NIPS
2001
13 years 11 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
ISMIR
2004
Springer
190views Music» more  ISMIR 2004»
14 years 3 months ago
Disambiguating Music Emotion Using Software Agents
Annotating music poses a cognitive load on listeners and this potentially interferes with the emotions being reported. One solution is to let software agents learn to make the ann...
Dan Yang, WonSook Lee
BMCBI
2008
173views more  BMCBI 2008»
13 years 10 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
GI
2009
Springer
13 years 7 months ago
Direct Multi-Target Tracking and Multisensor Fusion Using Antenna Arrays
: This paper investigates a direct Target Motion Analysis (TMA) estimator for the problem of calculating the states (i.e. source positions, velocities, etc.) of multiple sources fr...
Marc Oispuu