359,866 results for machine learning
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Journal Article Full text
Machine Learning and Law
Part I of this Article explains the basic concepts underlying machine learning. Part II will convey a more general principle: non-intelligent computer algorithms can sometimes produce intelligent results in complex tasks through the use of suitable proxies detected in data. Part III will explore…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
- Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
- Klasifikasi Penjurusan Siswa Sma Dengan Menggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
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Journal Article Full text
Quantum Machine Learning: A Patent Review
One of the central problems bottlenecking machine learning research is classical computational power limits. Quantum computing provides a solution, offering more processing power for less electric cost. Quantum Machine Learning (QML) is a research field at the intersection of quantum computing and…
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Journal Article Full text
Machine Learning and the New Civil Procedure
There is an increasing emphasis in the legal academy, the media, and the popular consciousness on how artificial intelligence and machine learning will change the foundations of legal practice. In concert with these discussions, a critical question needs to be explored—As computer programming…
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THE PROMISE OF MACHINE LEARNING FOR PATENT LANDSCAPING
THE PROMISE OF MACHINE LEARNING FOR PATENT LANDSCAPING
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Book Full text
Phase transitions in machine learning
Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in…
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Book Full text
Machine Learning Techniques for Multimedia
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying…
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Book Full text
Machine Learning in Quantum Sciences
…experts. After presenting the key concepts and foundations of machine learning, a subfield of artificial intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on machine learning in science. By…
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Machine Learning for Brain Disorders
This book provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of…
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Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics.The two volumes of Machine Learning in Geomechanics aim to…
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Machine Learning
Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and…
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Book Full text
Machine Learning
Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve…
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Book Full text
Machine Learning
…decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial…
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