204.674 hasil untuk machine learning
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Artikel Jurnal
Machine learning:
…type of fuel, (pine and cork oak trees, Matorral, …). The 3 types of machine learning models (binary logistic regression, random forest and XG Boost) have shown very interesting results in terms of forest fire predictability by correctly classifying an average of 85% of the sample reserved for…
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Artikel Jurnal
Machine learning:
…type of fuel, (pine and cork oak trees, Matorral, …). The 3 types of machine learning models (binary logistic regression, random forest and XG Boost) have shown very interesting results in terms of forest fire predictability by correctly classifying an average of 85% of the sample reserved for…
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Artikel Jurnal
Integrating Machine Learning Standards in Disseminating Machine Learning Research
The increasing use of AI-based approaches such as machine learning (ML) across diverse scientific fields presents challenges for reproducibly disseminating and assessing research. As ML becomes integral to a growing range of computationally intensive applications (e.g., clinical research), there is…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Artikel Jurnal
A Machine Learning-Oriented Survey on Tiny Machine Learning
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. TinyML carries an essential role within the fourth and fifth…
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Artikel Jurnal
Qudit machine learning
We present a comprehensive investigation into the learning capabilities of a simple d -level system (qudit). Our study is specialized for classification tasks using real-world databases, specifically the Iris, breast cancer, and MNIST datasets. We explore various learning models in the metric…
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Artikel Jurnal Teks lengkap
Explainable Machine Learning
Machine learning methods are widely used in commercial applications and in many scientific areas [...]
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Artikel Jurnal Teks lengkap
Precision Machine Learning
We explore unique considerations involved in fitting machine learning (ML) models to data with very high precision, as is often required for science applications. We empirically compare various function approximation methods and study how they scale with increasing parameters and data. We find that…
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Artikel Jurnal
Review and comparative analysis of machine learning libraries for machine learning
The article is an overview. We carry out the comparison of actual machine learning libraries that can be used the neural networks development. The first part of the article gives a brief description of TensorFlow, PyTorch, Theano, Keras, SciKit Learn libraries, SciPy library stack. An overview of…
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Artikel Jurnal Teks lengkap
Machine learning and soil sciences: a review aided by machine learning tools
The application of machine learning (ML) techniques in various fields of science has increased rapidly, especially in the last 10 years. The increasing availability of soil data that can be efficiently acquired remotely and proximally, and freely available open-source algorithms, have led to an…
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Artikel Jurnal
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
…sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tweets and characterize sentiments in them can underpin a Twitter-based vaping surveillance system. Compared with traditional machine learning classifiers that are…
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Artikel Jurnal
Bridging expertise with machine learning and automated machine learning in clinical medicine
In this issue of the Annals, Thirunavukarasu et al.’s systematic review on the clinical performance of automated machine learning (autoML) highlights its extensive applicability across 22 clinical specialties, showcasing its potential to redefine healthcare by making artificial intelligence (AI)…
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Artikel Jurnal
Machine learning the deuteron
We use machine learning techniques to solve the nuclear two-body bound state problem, the deuteron. We use a minimal one-layer, feed-forward neural network to represent the deuteron S- and D-state wavefunction in momentum space, and solve the problem variationally using ready-made machine learning…
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Artikel Jurnal
Self-directed machine learning
Conventional machine learning (ML) relies heavily on manual design from machine learning experts to decide learning tasks, data, models, optimization algorithms, and evaluation metrics, which is labor-intensive, time-consuming, and cannot learn autonomously like humans. In education science…
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Artikel Jurnal
Diversity in Machine Learning
Machine learning methods have achieved good performance and been widely applied in various real-world applications. They can learn the model adaptively and be better fit for special requirements of different tasks. Generally, a good machine learning system is composed of plentiful training data, a…
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Artikel Jurnal
Copying Machine Learning Classifiers
We study copying of machine learning classifiers, an agnostic technique to replicate the decision behavior of any classifier. We develop the theory behind the problem of copying, highlighting its properties, and propose a framework to copy the decision behavior of any classifier using no prior…
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Artikel Jurnal
Machine learning for combustion
…to improve the combustion efficiency with minimum emission of pollutants. Machine learning facilitates data-driven techniques for handling large amounts of combustion data, either obtained through experiments or simulations under multiple spatiotemporal scales, thereby finding the hidden patterns…
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Artikel Jurnal
Machine learning for semiconductors
…and the development of semicondulctor manufacturing. Fortunately, machine learning, as a fast-growing tool from computer science, is expected to significantly speed up the data analysis. In recently years, many researches on machine learning study of semiconductor materials and semiconductor…
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Artikel Jurnal Teks lengkap
Machine Learning for Communications
Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow’s networks will be faced with increasing challenges resulting from the explosive growth of data traffic demand with…
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