Journal ArticleDOI
Pattern Recognition and Machine Learning
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TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Proceedings ArticleDOI
EBM: an entropy-based model to infer social strength from spatiotemporal data
TL;DR: An entropy-based model (EBM) is proposed that not only infers social connections but also estimates the strength of social connections by analyzing people's co-occurrences in space and time and shows that this approach outperforms the competitors.
Posted Content
Optimal Data-Based Binning for Histograms
TL;DR: A straightforward data-based method of determining the optimal number of bins in a uniform bin-width histogram is introduced by assigning a multinomial likelihood and a non-informative prior to derive the posterior probability for the number of Bin heights in a piecewise-constant density model given the data.
Journal ArticleDOI
Computational neuroimaging strategies for single patient predictions
Klaas E. Stephan,Klaas E. Stephan,Klaas E. Stephan,Florian Schlagenhauf,Florian Schlagenhauf,Quentin J. M. Huys,Quentin J. M. Huys,Sudhir Raman,Eduardo A. Aponte,Kay H. Brodersen,Lionel Rigoux,Lionel Rigoux,Rosalyn J. Moran,Jean Daunizeau,Jean Daunizeau,Raymond J. Dolan,Karl J. Friston,Andreas Heinz,Andreas Heinz +18 more
TL;DR: How these methods accommodate heterogeneity in psychiatric and neurological spectrum disorders, help avoid erroneous interpretations of neuroimaging data, and establish a link between a mechanistic, model-based approach and the statistical perspectives afforded by machine learning are reviewed.
Journal ArticleDOI
Heart Disease Prediction and Classification Using Machine Learning Algorithms Optimized by Particle Swarm Optimization and Ant Colony Optimization
Youness Khourdifi,Mohamed Bahaj +1 more
TL;DR: The Fast Correlation-Based Feature Selection (FCBF) method is exploited to filter redundant features in order to improve the quality of heart disease classification and the proposed system is superior to that of the classification technique presented above.
L ikelihood Consensus and Its Application to Distributed Particle Filtering
TL;DR: This work proposes a distributed method for computing, at each sensor, an approximation of the JLF by means of consensus algorithms, and uses the likelihood consensus method to implement a distributed particle filter and a distributed Gaussian particle filter.