Some topics resulted in particularly poor agreement between the model and our own interpretation, often because the words in the topic were used in so many different contexts that its definition would ...

Latent Dirichlet Allocation (LDA) is an unsupervised machine learning algorithm for topic modeling, meaning identifying sets of words that characterize topics that might not be obvious—they are ...

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden ...

A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces ...

Statistics professor James Johndrow and his wife, statistician Kristian Lum, have written a paper providing a probabilistic notion of algorithm bias as well as a method for removing this bias.

A new digital twin method can be used to test the accuracy of process models that combine both statistical and mechanistic elements.