359,866 results for machine learning
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Book Full text
Machine Learning
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice…
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Book Full text
Cause Effect Pairs in Machine Learning
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning…
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Book Full text
Random Matrix Methods for Machine Learning
This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world…
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Thesis / Dissertation Full text
Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine Learning
…dalam proses penjurusan makadimanfaatkannya algoritma klasifikasi machine learning dalamproses penjurusansiswa. Dalam melakukan klasifikasi machine learning, penelitianini menggunakan empat algoritma machine learning yaitu K-Nearest Neighbors, Support Vector Machine, Random Forest dan Naïve Bayes…
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Journal Article Full text
The American Way - Until Machine Learning Algorithm Beats the Law?
…the increasing sophistication of Artificial Intelligence (AI), especially machine learning, place both the EU and the US legal regimes in similar position as neither jurisdiction is equipped to respond to autonomous, unpredictable, and unexplainable algorithms making decisions. While the EU’s…
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Journal Article Full text
Narrowing the Universe: A Machine Learning Approach to Patent Clearance
…able to quantify and mitigate their own patent infringement risk. We used machine learning methods, informed by legal scholars’ understanding of relevant patent traits, to improve on prior attempts to predict litigation. We built primarily on Colleen Chien’s Predicting Patent Litigation. Chien used…
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Journal Article Full text
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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Book Full text
Machine Learning, ECML 2004: 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings
International audience
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Machine Learning for Factor Investing : R version
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for…
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Book Full text
Machine Learning for Factor Investing : Python Version
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for…
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Book Full text
xMLC - A Toolkit for Machine Learning Control
xMLC is the second book of this `Machine Learning Tools in Fluid Mechanics' Series and focuses on Machine Learning Control (MLC). The objectives of this book are two-fold: First, provide an introduction to MLC for students, researchers, and newcomers on the field; and second, share an open-source…
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Book Full text
Automated Machine Learning
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial…
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