38 research outputs found

    Machine Learning at Microsoft with ML .NET

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    Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for developers to author. This presents a significant engineering challenge, since currently data science and modeling are largely decoupled from standard software development processes. This separation makes incorporating machine learning capabilities inside applications unnecessarily costly and difficult, and furthermore discourage developers from embracing ML in first place. In this paper we present ML .NET, a framework developed at Microsoft over the last decade in response to the challenge of making it easy to ship machine learning models in large software applications. We present its architecture, and illuminate the application demands that shaped it. Specifically, we introduce DataView, the core data abstraction of ML .NET which allows it to capture full predictive pipelines efficiently and consistently across training and inference lifecycles. We close the paper with a surprisingly favorable performance study of ML .NET compared to more recent entrants, and a discussion of some lessons learned

    Dark sectors 2016 Workshop: community report

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    This report, based on the Dark Sectors workshop at SLAC in April 2016, summarizes the scientific importance of searches for dark sector dark matter and forces at masses beneath the weak-scale, the status of this broad international field, the important milestones motivating future exploration, and promising experimental opportunities to reach these milestones over the next 5-10 years

    Contributions à la reconnaissance de l'écriture cursive à l'aide des modèles de Markov cachés

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    PARIS5-BU Saints-Pères (751062109) / SudocSudocFranceF

    Choix du type de charge acoustique potentielle pour le H-ROV

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    Ce document a pour objectif de préparer une réunion sur le choix du type de charge utile "Acoustique" pour le H-ROV. Ce document s'intéresse à la charge utile "cartographie acoustique". Il est réalisé avec l'objectif de préparer une réunion du groupe de travail scientifique du H-ROV. Il propose un bilan des différentes charges utiles acoustiques embarquables sur un engin sous-marin, ainsi que leur avantages et leurs inconvénients au regard des caractéristiques techniques du H-ROV. Au final un SONDEUR MULTIFAISCEAUX a été le choix considéré comme étant le plus adapté à l'environnement probable d'exploration du HROV (milieu à fort relief) ainsi qu'à ses caractéristiques techniques (autonomie réduite). Lors de l'intégration sur le SKID "Acoustique", il faudra envisager la possibilité d'une charge acoustique complémentaire (sondeur de sédiment ECHOES 5000 IXSea des AUV 3000) qui permettra l'acquisition de données sur les milieux sédimentaires si besoin

    Perifascial plane versus perineural approaches for ultrasound-guided axillary block: go to the simplest?

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    International audienceUltrasound-guided axillary block is widely used in daily practice for upper limb orthopedic surgery. A simple, safe, efficacious and time-saving technique is mandatory to optimize surgical turnover and costs. In this perspective, we compared, in a randomized, single-blinded study, a standardized perifascial technique and the selective perineural technique.Methods: Forty-two patients scheduled for elective hand surgery were randomly assigned to receive 20 mL of 10 mg/mL mepivacaine, either selectively around each of the radial, median, ulnar and musculocutaneous nerves (perineural group) or along the latissimus dorsi and superficial axillary fascia (perifascial group). The primary outcome was the procedure performance time in both groups. Secondary goals were the number of needle passes, a per-procedure evaluation of the performance on a visual analogue scale ranging from 0 to 10, the success rate and the incidence of adverse events.Results: Performance time was significantly reduced in the perifascial group (3.6 vs. 6.5 min, P<0.001), with fewer needle passes (3 vs. 6, P<0.001) and a simpler procedure performance (8.5 vs. 7.6, P=0.02). No vascular punctures or neurologic deficits were reported. Surgical anesthesia (95% in both groups) and complete anesthetic success (perifascial 81% vs. perineural 95%) were similar.Conclusions: We reported that the ultrasound-guided axillary perifascial block is easier to perform and saves procedural time compared to the classic perineural technique. Considering the same anesthetic success rate in both groups, the perifascial plane technique should be considered a daily practice technique and the first level of learning procedure for axillary block
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