Dimitar Kazakov | Akateeminen Kirjakauppa

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INDUCTIVE LOGIC PROGRAMMING - 29TH INTERNATIONAL CONFERENCE, ILP 2019, PLOVDIV, BULGARIA, SEPTEMBER 3–5, 2019, PROCEEDINGS

Dimitar Kazakov; Can Erten
Springer Nature Switzerland AG (2020)
Pehmeäkantinen kirja

51,40 €

ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS - ADAPTATION AND MULTI-AGENT LEARNING

Eduardo Alonso; Daniel Kudenko; Dimitar Kazakov
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2003)
Pehmeäkantinen kirja

51,40 €

ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS II - ADAPTATION AND MULTI-AGENT LEARNING

Daniel Kudenko; Dimitar Kazakov; Eduardo Alonso
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005)
Pehmeäkantinen kirja

51,40 €

Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings

Dimitar Kazakov, Can Erten

51,40 €

Springer Nature Switzerland AG
Sivumäärä: 145 sivua
Asu: Pehmeäkantinen kirja
Painos: 2020 ed.
Julkaisuvuosi: 2020, 03.06.2020 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Artificial Intelligence

This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.

The 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

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