Alexandre Passos

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We present the optimization package in the FACTORIE library for machine learning , graphical models, and natural language processing in Scala. The library is designed with an eye towards the way practitioners naturally break down the structure of a learning problem, giving first-class status to, for example, training examples , update rules, and(More)
Relation extraction by universal schema avoids mapping to a brittle, incomplete traditional schema by instead making predictions in the union of all input schemas, including tex-tual patterns. Modeling these predictions by matrix competition with matrix factorization has yielded state-of-the-art accuracies. One difficulty with prior work in matrix(More)
Behavioural responses of organisms are frequently affected by variation in resource availability. For eusocial insects, the nutritional status of the colony can modulate responses to chemical cues determining intra- and inter-colonial aggressiveness. Species co-occurrence in termites seems to be modulated by resource availability. Here, we tested the(More)
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It(More)
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