The difference between a classical algorithm and machine learning was analyzed, in case of a tennis ball recognition on photos. It has been created on own dataset to avoid a uniform background and bright colors. Images were taken with a low-cost camera in different conditions. Creating the ...
作者:Sven Gotovac , Danijel Zelenika 单位:莫斯塔尔大学 期刊名称: Remote Sensing中科院分区:SCI2区 链接:DOI: 10.3390/rs122032951 研究动机 该研究的动机源于使用无人机系统(UAS)提高搜救(search-and…
machine learning是计算机科学和人工智能的一个子领域,用于构建可以从数据中学习到model,而不需要显示地编程学习rule statistical model:是数学的一个分支,用于发现多个变量之间的关系,从而可以预测输出 diffrent eras(不同时代的产物) statistical modelling已经存在几世纪的时间了,而machine learning实际上从1990年代才变得...
Machine learningis a good example of an algorithm, as it uses multiple algorithms to predict outcomes without being explicitly programmed to do so. Machine learning usessupervised learningorunsupervised learning. In supervised learning, data scientists supply complex algorithms with labeled training data a...
python machine-learning reinforcement-learning q-learning sarsa-learning q-learning-vs-sarsa sarsa-algorithm q-learning-algorithm Updated Feb 15, 2021 Python AntoniovanDijck / BlackJackRL Star 3 Code Issues Pull requests Discussions Deep Q Learning blackbox strategies for casino games machine-lear...
Elaziz et al. (2017b) hybridized SCA and DE for the first time in the literature. DE operators were used to avoid the search from local optima stagnation. The performance of SCADE was assessed using eight datasets taken from the UCI machine learning site and compared to ABC, SSO, and SCA...
With the advent of machine learning, we can now take a different approach to making machines more intelligent. Rather than telling a machine explicitly what to look out for, and what we consider to be good or bad, we can use neural networks to have the machine learn these values for itsel...
In simple terms, machine learning algorithms refer to computational techniques that can find a way to connect a set of inputs to a desired set of outputs by learning relevant data. From: Deep Learning Models for Medical Imaging, 2022
Support Vector Machine (SVM) algorithm in python & machine learning is a simple yet powerful Supervised ML algorithm that can be used for both regression & classification models.
Furthermore, it offers different specialised modules, such as the MLlib machine learning library [19]. The main goal of this study is to predict a large time series with a specific (but arbitrary) time horizon in the context of Big Data. To solve this problem in a Big Data context, ...