Acceleration of Interface Structure Searching via Machine Learning
نویسندگان
چکیده
منابع مشابه
Coadaptive Brain-Machine Interface via Reinforcement Learning
This paper introduces and demonstrates a novel brain-machine interface (BMI) architecture based on the concepts of reinforcement learning (RL), coadaptation, and shaping. RL allows the BMI control algorithm to learn to complete tasks from interactions with the environment, rather than an explicit training signal. Coadaption enables continuous, synergistic adaptation between the BMI control algo...
متن کاملSearching for Credible Relations in Machine Learning
When machine learning (ML) and data mining (DM) methods construct models in complex domains, models can contain less-credible parts [2], which are statistically significant, but meaningless to the human analyst. For example, let us consider a decision tree model presented in Figure 1. The tree is constructed with the J48 algorithm in Weka [8] for a complex domain indicating which segments of re...
متن کاملBrain Computer Interface using Machine Learning
This paper presents the design and development of a complete hardware and software solution for a brain computer interface (BCI). It consists of a non-intrusive multiple channel data acquisition device which captures the electrical brain wave signals and passes the data to a computer. The computer then uses signal processing and machine learning algorithms to identify patterns in the signals re...
متن کاملSearching and Browsing Interface for Image Databases via Internet
With its easier availability, finer resolution and wider coverage of spectrum in recent years, remote sensing technology has emerged as a fast way for users in a variety of domains to acquire updated information. With such popularity, the needs nowadays are much greater than before, and we are even expecting an era that thousands of images may be produced per day. Although such a large number o...
متن کاملMonitoring Vertical Acceleration of Railway Wagon using Machine Learning Technique
Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of lateral instability and track irregularities. In this study we have proposed a system to monitor ...
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: Vacuum and Surface Science
سال: 2019
ISSN: 2433-5835,2433-5843
DOI: 10.1380/vss.62.130