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Machine learning and learning from machines

The Leading Edge, 2018
Machine learning has been around for decades or, depending on your view, centuries. To consider the tools and underpinnings of machine learning, one would need to go back to the work of Bayes and Laplace, the derivation of least squares, and Markov chains, all of which form the basis and the probability construct used pervasively in machine learning ...
Ehsan Zabihi Naeini, Kenton Prindle
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Machine Learning and Learning from Machines

Progress’19, 2019
Summary Deep learning has demonstrated tremendous success in a variety of application domains in the past few years, and with some new modalities of applications it continues to open new opportunities. We see applications of machine learning in our daily lives, stretching from familiar applications such as spam filters dating back to the 1990s to more ...
A. Kozhenkov, K. Prindle, Ehsan Zabihi Naeini   +2 more
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Do Machine-Learning Machines Learn?

2018
We answer the present paper’s title in the negative. We begin by introducing and characterizing “real learning” (\(\mathcal {RL}\)) in the formal sciences, a phenomenon that has been firmly in place in homes and schools since at least Euclid. The defense of our negative answer pivots on an integration of reductio and proof by cases, and constitutes a ...
Selmer Bringsjord, Shreya Banerjee, Naveen Sundar Govindarajulu, John E. Hummel   +3 more
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Machine Learning

2015
What the reader should know after reading in this chapter Supervised learning, Unsupervised learning, Semi-supervised learning, Reinforcement learning.
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
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Machine Learning: The Ghost in the Learning Machine

2009
Since ancient time learning has played a significant role in building the basis of human intelligence. The tendency for learning with the increased dynamics and complexity of the global economy is growing. If in the past most of the learning efforts were concentrated in high-school and college years, in the 21st century learning becomes a continuous ...
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Machine learning

Machine learning (ML) entails a set of tools and structures to acquire information from data. This chapter explains a wide range of tools to learn from data originating from distinct sources. The chapter reviews established learning concepts and details some classical tools to perform unsupervised and supervised learning. Then, deep learning algorithms
Mendonça, Marcele O.K., Netto, Sergio L., Diniz, Paulo S.R., Theodoridis, Sergios   +3 more
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Learning by machines

Journal of Trauma and Acute Care Surgery, 2021
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Machine learning glasses

Nature Physics, 2020
Artificial neural networks now allow the dynamics of supercooled liquids to be predicted from their structure alone in an unprecedented way, thus providing a powerful new tool to study the physics of the glass transition.
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