Probabilistic Inductive Logic Programming by Luc De Raedt
This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.-
Computational Logic in Multi-Agent Systems
-
The Design of Intelligent Agents
-
Autonomous Intelligent Systems: Multi-Agents and Data Mining
-
Computational and Corpus-Based Phraseology
-
Argumentation in Multi-Agent Systems
-
New Frontiers in Applied Data Mining
-
Automated Deduction in Geometry
-
Automated Reasoning with Analytic Tableaux and Related Methods
-
Machine Learning and Knowledge Discovery in Databases
-
Agent and Multi-Agent Systems: Technologies and Applications
-
Modeling Decisions for Artificial Intelligence
-
Explainable, Transparent Autonomous Agents and Multi-Agent Systems
-
Scalable Uncertainty Management
-
Artificial Intelligence in Education
-
Natural Language Processing and Chinese Computing
-
Artificial Intelligence in Medicine
-
Foundations of Intelligent Systems
-
Trends and Applications in Knowledge Discovery and Data Mining
-
Biomimetic and Biohybrid Systems
-
Engineering Psychology and Cognitive Ergonomics
-
Theory and Applications of Formal Argumentation
-
Towards Autonomous Robotic Systems
-
Advances in Practical Applications of Heterogeneous Multi-Agent Systems - The PAAMS Collection
-
Chinese Lexical Semantics
-
Intelligent Information and Database Systems
-
Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems
-
Advances in Knowledge Discovery and Data Mining
-
Advances in Artificial Intelligence
-
Artificial Intelligence
-
Case-Based Reasoning Research and Development
-
Artificial Intelligence and Soft Computing
-
Intelligent Systems
-
Advances in Nonlinear Speech Processing
-
AI 2024: Advances in Artificial Intelligence
-
Automata for Branching and Layered Temporal Structures
-
Integrated Uncertainty in Knowledge Modelling and Decision Making
-
Applications of Declarative Programming and Knowledge Management
-
Advances in Knowledge Discovery and Data Mining, Part II
-
The Multi-Agent Programming Contest 2019
-
Formal Concept Analysis
| SKU | Unavailable |
| ISBN 13 | 9783540786511 |
| ISBN 10 | 3540786511 |
| Title | Probabilistic Inductive Logic Programming |
| Author | Luc De Raedt |
| Series | Lecture Notes In Artificial Intelligence |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2008-03-14 |
| Number of pages | 341 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |