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06/21/2023
An efficient, provably exact algorithm for the 0-1 loss linear classification problem
Algorithms for solving the linear classification problem have a long his...
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11/21/2022
TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications
Digital sensors are increasingly being used to monitor the change over t...
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07/05/2021
Polymorphic dynamic programming by algebraic shortcut fusion
Dynamic programming (DP) is a broadly applicable algorithmic design para...
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02/07/2021
Few-shot time series segmentation using prototype-defined infinite hidden Markov models
We propose a robust framework for interpretable, few-shot analysis of no...
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06/22/2020
Latent feature sharing: an adaptive approach to linear decomposition models
Latent feature models are canonical tools for exploratory analysis in cl...
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04/07/2020
Probabilistic modelling of gait for robust passive monitoring in daily life
Passive monitoring in daily life may provide invaluable insights about a...
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10/21/2019
Causal bootstrapping
To draw scientifically meaningful conclusions and build reliable models ...
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05/28/2019
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection
The performance of voice-based Parkinson's disease (PD) detection system...
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05/27/2019
Adaptive probabilistic principal component analysis
Using the linear Gaussian latent variable model as a starting point we r...
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05/21/2019
Bayesian Pitch Tracking Based on the Harmonic Model
Fundamental frequency is one of the most important characteristics of sp...
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11/04/2014
Simple approximate MAP Inference for Dirichlet processes
The Dirichlet process mixture (DPM) is a ubiquitous, flexible Bayesian n...
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04/03/2013
