Researcher profile
Mathieu Guillame-Bert
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Honey: A dataflow programming language for the processing, featurization and analysis of multivariate, asynchronous and non-uniformly sampled scalar symbolic time sequences
2016 · arXiv (Cornell University)
We introduce HONEY; a new specialized programming language designed to facilitate the processing of multivariate, asynchronous and non-uniformly sampled symbolic and scalar time sequences. When compiled, a Honey program is transformed into a static process …
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Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
2020 · arXiv (Cornell University)
Axis-aligned decision forests have long been the leading class of machine learning algorithms for modeling tabular data. In many applications of machine learning such as learning-to-rank, decision forests deliver remarkable performance. They also possess other …