Machine Learning: ECML 2001 by Luc De Raedt
This text constitutes the proceedings of the 12th European Conference on Machine Learning, 2001 and presents 50 revised papers and four invited contributions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, Web mining and inductive logic programming.-
Computational Logic in Multi-Agent Systems
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The Design of Intelligent Agents
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Autonomous Intelligent Systems: Multi-Agents and Data Mining
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Computational and Corpus-Based Phraseology
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Argumentation in Multi-Agent Systems
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New Frontiers in Applied Data Mining
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Automated Deduction in Geometry
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Automated Reasoning with Analytic Tableaux and Related Methods
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Machine Learning and Knowledge Discovery in Databases
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Agent and Multi-Agent Systems: Technologies and Applications
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Modeling Decisions for Artificial Intelligence
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems
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Scalable Uncertainty Management
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Artificial Intelligence in Education
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Natural Language Processing and Chinese Computing
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Artificial Intelligence in Medicine
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Foundations of Intelligent Systems
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Trends and Applications in Knowledge Discovery and Data Mining
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Biomimetic and Biohybrid Systems
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Engineering Psychology and Cognitive Ergonomics
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Theory and Applications of Formal Argumentation
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Towards Autonomous Robotic Systems
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Advances in Practical Applications of Heterogeneous Multi-Agent Systems - The PAAMS Collection
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Chinese Lexical Semantics
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Intelligent Information and Database Systems
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Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems
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Advances in Knowledge Discovery and Data Mining
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Advances in Artificial Intelligence
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Artificial Intelligence
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Case-Based Reasoning Research and Development
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Artificial Intelligence and Soft Computing
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Intelligent Systems
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Advances in Nonlinear Speech Processing
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AI 2024: Advances in Artificial Intelligence
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Automata for Branching and Layered Temporal Structures
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Integrated Uncertainty in Knowledge Modelling and Decision Making
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Applications of Declarative Programming and Knowledge Management
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Advances in Knowledge Discovery and Data Mining, Part II
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The Multi-Agent Programming Contest 2019
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Formal Concept Analysis
Flach, Peter: - Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the 2012 European Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.
| SKU | Unavailable |
| ISBN 13 | 9783540425366 |
| ISBN 10 | 3540425365 |
| Title | Machine Learning: ECML 2001 |
| Author | Luc De Raedt |
| Series | Lecture Notes In Artificial Intelligence |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2001-08-23 |
| Number of pages | 620 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |