This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.
In the downward spiral of the Third Reich's final days, a sadistic serial killer is stalking the streets of Prague. The unlikely pair of Jan Morava, a rookie Czech police detective, and Erwin Buback, a Gestapo agent questioning his own loyalty to the Nazi's, set out to stop the murderer. Weaving a delicate tale of human struggle underneath the surface of a thrilling murder story, Kohout has created a memorable work of fiction
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
This volume contains studies presented at the 4th International Workshop on the History of Speech Communication Research (HSCR 2021). The series of workshops was initiated in Dresden in 2015. The current workshop took place in Prague at the Institute of Phonetics, Charles University, amid the ever-changing pandemic circumstances – for the first time in a hybrid form. There are nine contributions, written by 12 authors from six countries. The contributions analyze the contextual background of particular personalities or investigate how specific research practices developed over time. Moreover, each contribution demonstrates a significant connection between various aspects of speech communication research and the wider social context. A special theme of this workshop was the link in linguistic signs between the form (sound) and the meaning (sense). The phonetic endeavour was often claimed to concern only the form, while meaning was delegated to someone else. This is not only one-sided, but also difficult to integrate into the large body of scientific knowledge, as the opening keynote emphasized.
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