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Proceedings of the IEEE, 2002
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our approach to the problem of visual perception based on supervised learning. After a brief presentation of the theoretical background, we focus on some of the engineering applications of statistical learning to ...
HEISELE B, VERRI, ALESSANDRO, POGGIO T.
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The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our approach to the problem of visual perception based on supervised learning. After a brief presentation of the theoretical background, we focus on some of the engineering applications of statistical learning to ...
HEISELE B, VERRI, ALESSANDRO, POGGIO T.
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Machine learning and learning from machines
The Leading Edge, 2018Abstract 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 ...
Ehsan Zabihi Naeini, Kenton Prindle
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Machine Learning vs Human Learning
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 2021Machine Learning (ML) is a technology to make messages created by humans (text, images, speech etc.) more understandable for computers so that they could better answer humans' queries and needs when recalling this information. Here is considered the ML sub-area - Natural Language Processing (NLP) and presented examples of its methods using text ...
Jaak Henno +2 more
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Machine Learning and Learning from Machines
Progress’19, 2019Summary 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, E.Z. Naeini, K. Prindle
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Learning analytics and machine learning
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, 2014Learning analytics (LA) as a field remains in its infancy. Many of the techniques now prominent from practitioners have been drawn from various fields, including HCI, statistics, computer science, and learning sciences. In order for LA to grow and advance as a discipline, two significant challenges must be met: 1) development of analytics methods and ...
Dragan Gasevic +4 more
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Learning molecular machines by machine learning
Eurasian Journal of Science Engineering and TechnologyProteins, often referred to as molecular machines, are essential biomolecules that perform a wide range of cellular functions, typically by forming complexes. Understanding their three-dimendional (3D) structures is key to deciphering their functions.
Rumeysa Hilal Çelik +3 more
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Learning to learn: From smart machines to intelligent machines
Pattern Recognition Letters, 2008Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, we are still far from having machines that reach human intelligence level. The current paper tries to offer a possible explanation of this situation. For this purpose, we make
Bogdan Raducanu, Jordi Vitrià
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Do Machine-Learning Machines Learn?
2018We 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 +3 more
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Machine Learning for Learning at Scale
Proceedings of the Second (2015) ACM Conference on Learning @ Scale, 2015There is great enthusiasm for the idea that massive amounts of data from online interactions of learners with material can lead to a rapid improvement cycle, driven by analysis of the data, experimentation, and intervention to do more of what works and less of what doesn't.
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Machine Learning: The Ghost in the Learning Machine
2009Since 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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