Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes.
This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions.
The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 447
Weight: 1430 g
Dimensions: 233 x 155 x 23 mm
Edition: 1994 ed.
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