Machine Learning (ML) has been growing in popularity multiple areas and groups at CERN, covering fast simulation, tracking, anomaly detection, among many others. We describe a new service available based on Kubeflow managing the full ML lifecycle: data preparation interactive analysis, large scale distributed model training serving. cover specific features for hyper-parameter tuning metadata ma...

Separation logic is an extension of Hoare logic which permits reasoning about low-level imperative programs that use shared mutable heap structure. In this work, we present a version of separation logic that permits effective, modular reasoning about typed, higherorder functional programs that use aliased mutable heap data, including pointers to code. Furthermore, we show how to use predicates ...

[This corrects the article on p. 281 in vol. 83.].

This paper details development of a low-cost, small-size, and portable electronic nose (E-nose) for the prediction expiry date food products. The Sensor array is composed commercially available metal oxide semiconductors sensors like MQ2 sensor, temperature humidity which were interfaced with help ESP8266 Arduino Uno data acquisition, storage, analysis dataset consisting odor from fruit at diff...

Heart disease or Coronary illness, leads to many kinds of and deaths beyond a couple years. Dataset cleaning is simply an incorporated method for tackling gigantic data in the health care space. This examination paper presents different traits identified with coronary illness model on-premise administered learning calculations as K-closest neighbour (KNN) Support Vector Machine. The results dep...

interfaces for them. These dependencies can then be instantiated with multiple different modules during the execution of the program, enabling a powerful form of code reuse.1 Nevertheless, despite its strengths, the ML module system is not in a fully evolved state. One prominent weakness is that module interdependencies in ML are restricted to be acyclic, which means that mutually recursive fun...

This article introduces a technique to accurately perform static prediction of resource usage for ML-like functional programs with references and arrays. Previous research successfully integrated the potential method of amortized analysis with a standard type system to automatically derive parametric resources bounds. Due to its type-based nature, the analysis is naturally compositional and the...