TY - BOOK ID - 7806806 TI - Algorithmic Learning Theory : 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings AU - Cesa-Bianchi, Nicolò. AU - Numao, Masayuki. AU - Reischuk, Rüdiger. AU - ALT 2002 PY - 2002 SN - 3540001700 3540361693 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Computer algorithms KW - Machine learning KW - Computer Science KW - Engineering & Applied Sciences KW - Computer science. KW - Computer programming. KW - Computers. KW - Algorithms. KW - Artificial intelligence. KW - Computer Science. KW - Programming Techniques. KW - Theory of Computation. KW - Artificial Intelligence (incl. Robotics). KW - Computer Science, general. KW - Computation by Abstract Devices. KW - Algorithm Analysis and Problem Complexity. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Algorism KW - Algebra KW - Arithmetic KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Cybernetics KW - Calculators KW - Cyberspace KW - Computers KW - Electronic computer programming KW - Electronic digital computers KW - Programming (Electronic computers) KW - Coding theory KW - Informatics KW - Science KW - Foundations KW - Programming KW - Information theory. KW - Computer software. KW - Artificial Intelligence. KW - Software, Computer KW - Communication theory KW - Communication UR - https://www.unicat.be/uniCat?func=search&query=sysid:7806806 AB - This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ¨ eck (Germany) during November 24–26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe University, Japan) on “Mathematics Based on Learning”, by John Shawe-Taylor (Royal Holloway University of L- don, UK) on “On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum”, and by Ian H. Witten (University of Waikato, New Zealand) on “Learning Structure from Sequences, with Applications in a Digital Library” (joint invited talk with DS 2002). Furthermore, this volume - cludes abstracts of the invited talks for DS 2002 presented by Gerhard Widmer (Austrian Research Institute for Arti?cial Intelligence, Vienna) on “In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project” and by Rudolf Kruse (University of Magdeburg, Germany) on “Data Mining with Graphical Models”. The complete versions of these papers are published in the DS 2002 proceedings (Lecture Notes in Arti?cial Intelligence, Vol. 2534). ALT has been awarding the E. ER -