The multi-point Metropolis algorithm is an advanced MCMC technique based on drawing several corre... more The multi-point Metropolis algorithm is an advanced MCMC technique based on drawing several correlated samples at each step and choosing one of them according to some normalized weights. We propose a variation of this technique where the weight functions are not specified, i.e., the analytic form can be chosen arbitrarily. This has the advantage of greater flexibility in the design
There are many available methods for generating synthetic data streams. Such methods have been ju... more There are many available methods for generating synthetic data streams. Such methods have been justified by the need to study the efficacy of algorithms on a theoretically infinite stream, andalso a lack of real-world data of sufficient size. Although multi-label classification has attracted considerable interest in recent years, most of this work has been carried out in the context of
The multi-point Metropolis algorithm is an advanced MCMC technique based on drawing several corre... more The multi-point Metropolis algorithm is an advanced MCMC technique based on drawing several correlated samples at each step and choosing one of them according to some normalized weights. We propose a variation of this technique where the weight functions are not specified, i.e., the analytic form can be chosen arbitrarily. This has the advantage of greater flexibility in the design
There are many available methods for generating synthetic data streams. Such methods have been ju... more There are many available methods for generating synthetic data streams. Such methods have been justified by the need to study the efficacy of algorithms on a theoretically infinite stream, andalso a lack of real-world data of sufficient size. Although multi-label classification has attracted considerable interest in recent years, most of this work has been carried out in the context of
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Papers by Jesse Read