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Fuzzy Probability Theory
In this chapter we look more closely at the fuzzy binomial distribution, the fuzzy Poisson, and at the fuzzy normal,exponential and uniform...
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MCTS with Dynamic Depth Minimax
Hybrid models combining Monte-Carlo Tree Search (MCTS) with fixed depth minimax searches have shown great success as the brute force search allow the...
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Empirische Risikominimierung
Kap. 2 diskutierte drei Hauptkomponenten von ML (siehe Abb. 2.1): Datenpunkte, die durch Merkmale...
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Power Analysis
Power dissipation has become one of the top concern in the development of new integrated circuits. In this chapter, power analysis techniques for...
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The Enterprise Engineering Theories
The foundations of the discipline of enterprise engineering (EE), as envisioned by the Ciao Network, consist of the CIAO Paradigm and a number of...
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Detecting Anomalies and Multi-attacks Through Cyber Learning: An Experimental Analysis
Detecting cyber-anomalies and attacks are becoming a rising concern these days in the domain of cybersecurity. The knowledge of artificial...
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Edge Intelligent Computing in Aqua Environments
Nowadays, an ambitious target of the next generation networks is to develop edge intelligence ecosystem able to efficiently operate in heterogeneous...
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Fault Modelling with Structural BDDs
In this chapter, we propose methods for modelling faults in structural Binary Decision Diagrams (BDDs). We show how to map the nodes in different...
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A Projected Zeroing Neural Network Model for the Motion Generation and Control
Recently, zeroing neural networks plays a vital role in robot control and trajectory tracking. This chapter designs a projected zeroing neural...
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Interacting with Feature Model Configurators
In this chapter, we discuss different AI techniques that can be applied to support interactive FM configuration scenarios.We have in mind situations...
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Probability Ordinal-Preserving Semantic Hashing
Existing semantic hashing methods primarily concentrate on preserving piecewise class information or pairwise correlations in learned binary codes,...
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Feature Engineering for Text Representations
This chapter details the process of feature engineering with examples, an implementation in Python, and a complete explanation of the source code.
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Signaltheorie
In diesem Kapitel werden die aus dem Bereich der Signaltheorie für die Zustandsschätzung mit Kalman-Filter relevanten Teile kurz angerissen. Dieses...
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Gradientenbasiertes Lernen
Im Folgenden betrachten wir ML-Methoden, die einen parametrisierten Hypothesenraum verwenden...
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Fuzzy Logic for Modeling the Knowledge of Users in PARSAT AR Software
This chapter of the book centers on the application of fuzzy logic for modeling students’ knowledge, with a primary focus on enhancing spatial...
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Experiment-based optical full-field receptances in the approximation of sound radiation from a vibrating plate
The exploitation of experiment-based optical full-field technologies in a broad frequency band is here proposed for the sound radiation numerical...
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Features of Regional Innovative Development of Small and Medium Business
The article analyzes the economic conditions, characteristics and innovative factors of regional innovative development of small and medium-sized...
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Parkinson’s Disease MRIs Analysis Using Neutrosophic-Entropy Clustering Approach
Brain MRIs consist of three major regions: gray matter, white matter and cerebrospinal fluid. Medical experts make decisions on different serious...
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Hybrid Simulations
A Fuzzy Cognitive Map can serve to externalize the mental model of an individual or group. However, mental models do not directly communicate, in the...
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Clique Counts for Network Similarity
Counts of small subgraphs, or graphlet counts, are widely applicable to measure graph similarity. Computing graphlet counts can be computationally...