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Author: Matej Guid | Interaction Design Foundation (IxDF)

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Jana Krivec. 1. Aleksander Sadikov. 2. Ivan Bratko. 3. Publications. Sadikov, Aleksander, Mozina, Martin, Guid, Matej, Krivec, Jana, Bratko, Ivan (2007): ... › literature › matej-g...

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Aleksander Sadikov, Ivan Bratko Learning long-term chess strategies from databases. [Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:63, n:3, ... › php › search

Argumentation in Artificial Intelligence - Page Google Books Result

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Matej Guid, Martin Moˇzina, Jana Krivec, Aleksander Sadikov, and Ivan Bratko. Learning positional features for annotating chess games.

ECAI 2006: 17th European Conference on Artificial ...

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Pessimistic Heuristics Beat Optimistic Ones in Real - Time Search Aleksander Sadikov and Ivan Bratko1 10 Difficulty 25 Figure 3. The comparison of …ct ...

Health Monitoring and Personalized Feedback using Multimedia ...

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... Jure Žabkar, Dejan Georgiev, Ivan Bratko, and Aleksander Sadikov 1 Introduction Parkinson's disease (PD) is a chronic, progressive neurological disease.

21st Annual Workshop on Qualitative Reasoning

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Qualitatively Constrained Equation Discovery, Jure Žabkar, Aleksander Sadikov, Ivan Bratko,. Janez Demšar. Dynamic domain abstraction through meta-diagnosis ... › proceedingsqr07

Building an Intelligent Tutoring System for Chess Endgames an ...

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Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, and Ivan BratkoFaculty of Computer and Information Science, University of Ljubljana, ... › Documents

Learning Positional Features for Annotating Chess Games: A ...

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Learning Positional Features for Annotating Chess Games: A Case Study Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov and Ivan Bratko CG Facult…

Deriving Concepts and Strategies from Chess Tablebases Matej Guid,...

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Slide 1Deriving Concepts and Strategies from Chess Tablebases Matej Guid, Martin Moina, Aleksander Sadikov, and Ivan Bratko Faculty of Computer and Information...

Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search

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by A Sadikov · · Cited by 18 — Aleksander Sadikov, Ivan Bratko. Pages Series. Frontiers in Artificial Intelligence and Applications. Ebook. Volume 141: ECAI Abstract. › publication

2 - IOS Press Ebooks

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Aleksander Sadikov, Ivan Bratko. Pages Abstract. Admissibility is a desired property of heuristic evaluation functions, because when these heuristics are used with complete search methods, such as A* and RBFS, they guarantee that an optimal solution will be found. Since every optimistic heuristic function is ...