Common arguments for including applications papers in the Machine Learning literature are
often based on the papers' value for advertising success stories and for morale boosting. For …

Common arguments for including applications papers in the Machine Learning literature are
often based on the papers' value for advertising success stories and for boosting morale. For …

Machine Learning saw its first issues appear in 1986. Naturally, the publication did not
spring fully grown from its founders' brows; we laid the first plans in 1983, during the Second …

One of the currently most active research areas within Artificial Intelligence is the field of
Machine Learning. which involves the study and development of computational models of …

Machine learning is a field of computing that has recently seen an explosion in applications
and household recognition. A loose definition of machine learning is using computers for …

The ability to learn is a fundamental characteristic of intelligent behavior. Consequently,
machine learning has been a focus of artificial intelligence since the beginnings of AI in the …

The purpose of this book is to provide an up-to-date and systematical introduction to the
principles and algorithms of machine learning. The definition of learning is broad enough to …

Machine learning is a scientific discipline and, like the fields of AI and computer science, has
both theoretical and empirical aspects. Although recent progress has occurred on the …

This essay gives advice to authors of papers on machine learning, although much of it
carries over to other computational disciplines. The issues covered include the material that …

Machine learning has come of age. And just in case you might think this is a mere platitude,
let me clarify. The dream that machines would one day be able to learn is as old as …