Managing Machine Learning Workflow Components
نویسندگان
چکیده
منابع مشابه
Managing Evolving Workflow Specifications
* This work was partially supported by the German Ministry for Research and Technology (BMBF) , project MOKASSIN under grant number 01 IS 601 D. Abstract Dynamic evolution of workflow models due to process (re)engineering activities and dynamic changing situations of the real process is one of the most important challenges in workflow management. In this paper, we present an approach for the ma...
متن کاملManaging Laboratory Workflow with Labbase
We have designed and implemented a system for managing workkow in large semi-automated laboratory projects. This system sits on top of LabBase, a database management system specialized for representing complex biological data types and experimental steps. The workkow manager uses a simple state/transition model to represent laboratory protocols and ooers a perl-based API for interaction with La...
متن کاملIntegrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models
Current workflow management systems (WFMS) offer little aid for the acquisition of workflow models and their adaptation to changing requirements. To support these activities we propose to integrate machine learning and workflow management. This enables an inductive approach to workflow acquisition and adaptation by processing traces of manually enacted workflows. We present a machine learning c...
متن کاملManaging the 802.11 Energy/Performance Tradeoff with Machine Learning
This paper addresses the problem of managing the tradeoff between energy consumption and performance in wireless devices implementing the IEEE 802.11 standard [1]. To save energy, the 802.11 specification proposes a power-saving mode (PSM), where a device can sleep to save energy, periodically waking up to receive packets from a neighbor (e.g., an access point) that may have buffered packets fo...
متن کاملAdult’s Learning Strategies for Receptive Skill Self-managing or Teacher-managing
Receptive language skill refers to answering appropriately to another person's spoken language. A lot of teachers try to develop receptive language skills in their language learners. When receptive language skills are not appropriately acquired, learners may miss significant learning opportunities resulting in delays in the development and acquisition of spoken language. The goals of this paper...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Semantic Computing
سال: 2020
ISSN: 1793-351X,1793-7108
DOI: 10.1142/s1793351x20400115