12 papers · ranked by Valyu relevance
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Cohen + 1 more
'Yoshua Bengio'] The constant introduction of standardized benchmarks in the literature has helped accelerating the recent advances in meta-learning research. They offer a way to get a fair comparison between different algorithms, and the wide range of datasets available allows full control over the complexity of this…
Jingyao Wang, Chuyuan Zhang, Ye Ding, Yuxuan Yang
—Artificial intelligence technology has already had a profound impact in various fields such as economy, industry, and education, but still limited. Meta-learning, also known as "learning to learn", provides an opportunity for general artificial intelligence, which can break through the current AI bottleneck. However…
Christopher Noune, Caroline Hauxwell
A pipeline developed to establish sequence identity and estimate abundance of non-model organisms (such as viral quasispecies) using customized ultra-deep sequence ‘meta-barcodes’ has been modified to improve performance by re-development in the Python programming language. Redundant packages were removed and new…
Serena Cofano, Giacomo Benedetti, Matteo Dell’Amico
Our analysis highlights issues related to dependency versions, metadata files, remote dependencies, and optional dependencies. Additionally, we identified a systematic issue with the lack of standards for metadata in the PyPI ecosystem. This includes inconsistencies in the presence of metadata files as well as…
Brandon T. Willard
In this article, we give a brief overview of the current state and future potential of symbolic computation within the Python statistical modeling and machine learning community. We detail the use of miniKanren (Byrd 2009) as an underlying framework for term rewriting and symbolic mathematics, as well as its ability to…
Joshua M. Mitchell, Yuanye Chi, Maheshwor Thapa, Zhiqiang Pang + 2 more
To standardize metabolomics data analysis and facilitate future computational developments, it is essential is have a set of well-defined templates for common data structures. Here we describe a collection of data structures involved in metabolomics data processing and illustrate how they are utilized in a…
Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, Laurence Tratt
Although run-time language composition is common, it normally takes the form of a crude Foreign Function Interface (FFI). While useful, such compositions tend to be coarse-grained and slow. In this paper we introduce a novel fine-grained syntactic composition of PHP and Python which allows users to embed each language…
Nathan J. LeRoy, Oleksandr Khoroshevskyi, Aaron O’Brien, Rafał Stepień + 2 more
As biological data increases, we need additional infrastructure to share it and promote interoperability. While major effort has been put into sharing data, relatively less emphasis is placed on sharing metadata. Yet, sharing metadata is also important, and in some ways has a wider scope than sharing data itself. Here…
Weiyuntian Dai, Yonglin Yi, Anqi Lin, Chaozheng Zhou + 4 more
Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive…
Fabien Campagne, William ER Digan, Manuele Simi
Data analysis tools have become essential to the study of biology. Tools available today were constructed with layers of technology developed over decades. Here, we explain how some of the principles used to develop this technology are sub-optimal for the construction of data analysis tools for biologists. In contrast…
Bruno Farias, Rafael Menezes, Eddie B. de Lima Filho, Youcheng Sun + 1 more
'Lucas C. Cordeiro'] This paper introduces a tool for verifying Python programs, which, using type annotation and front-end processing, can harness the capabilities of a bounded model-checking (BMC) pipeline. It transforms an input program into an abstract syntax tree to infer and add type information. Then, it…
Robert Dyer, Jigyasa Chauhan
Python is a multi-paradigm programming language that fully supports object-oriented (OO) programming. The language allows writing code in a non-procedural imperative manner, using procedures, using classes, or in a functional style. To date, no one has studied what paradigm(s), if any, are predominant in Python code…