List of important publications in computer science

This is a list of important publications in computer science, organized by field.

Some reasons why a particular publication might be regarded as important:

Description: This paper discusses whether machines can think and suggested the Turing test as a method for checking it.

Description: This summer research proposal inaugurated and defined the field. It contains the first use of the term artificial intelligence and this succinct description of the philosophical foundation of the field: "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." (See philosophy of AI) The proposal invited researchers to the Dartmouth conference, which is widely considered the "birth of AI". (See history of AI.)

Description: The seminal paper published in 1965 provides details on the mathematics of fuzzy set theory.

Description: This book introduced Bayesian methods to AI.

Description: The standard textbook in Artificial Intelligence. The book web site lists over 1100 colleges.

Description: The first paper written on machine learning. Emphasized the importance of training sequences, and the use of parts of previous solutions to problems in constructing trial solutions to new problems.

Description: This paper created Algorithmic learning theory.

Description: Computational learning theory, VC theory, statistical uniform convergence and the VC dimension.

Description: The Probably approximately correct learning (PAC learning) framework.

Description: Development of Backpropagation algorithm for artificial neural networks. Note that the algorithm was first described by Paul Werbos in 1974.

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