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Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to...
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Fuzzy Support Vector Machines with Automatic Membership Setting
Support vector machines like other classification approaches aim to learn the decision surface from the input points for classification problems or...
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Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine
We present a unifying theory of the Maxi-Min Margin Machine (M4) that subsumes the Support Vector Machine (SVM), the Minimax Probability Machine...
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Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms
The radioscintigraphy is currently the gold standard for gastric emptying test, but it involves radiation exposure and considerable expenses. Recent...
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An Accelerated Robust Support Vector Machine Algorithm
This chapter proposes an accelerated decomposition algorithm for robust support vector machine (SVM). Robust SVM aims at solving the overfitting...
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Active-Set Methods for Support Vector Machines
This chapter describes an active-set algorithm for quadratic programming problems that arise from the computation of support vector machines (SVMs)....
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Introduction to Pattern Recognition with Intelligent Systems
We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several...
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Supervised Learning Neural Networks
In this chapter, we describe the basic concepts, notation, and basic learning algorithms for supervised neural networks that will be of great use for...
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Evolutionary Computing for Architecture Optimization
This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for...
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Intuitionistic and Type-2 Fuzzy Logic
We describe in this chapter two new areas in fuzzy logic, type-2 fuzzy logic systems and intuitionistic fuzzy logic. Basically, a type-2 fuzzy set is...
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Face Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We...
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Unsupervised Learning Neural Networks
This chapter introduces the basic concepts and notation of unsupervised learning neural networks. Unsupervised networks are useful for analyzing data...
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Technology-Aware Enterprise Modeling: Challenging the Model-Driven Architecture Paradigm
We propose a holistic design approach that extends a traditional Model Driven Architecture paradigm with the bottom-up constraint analysis and...
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Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results....
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Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid
The vehicle-to-grid feature of today’s electric vehicles suggests using them as batteries for stabilizing the power grid besides using them to...
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Introducing Agile Controllability in Temporal Business Processes
Dynamic controllability is currently regarded as the most adequate notion for checking the temporal correctness of business processes with temporal...
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Aspects of Modeling Human Behavior in Agent-Based Social Simulation – What Can We Learn from the COVID-19 Pandemic?
Proper modeling of human behavior is crucial when develo** agent-based models to investigate the effects of policies, such as the potential...
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Enhancing Research Clarity: Ontology-Based Modeling of Argumentation in RPML
Navigating the research process, from problem identification to argumentation construction, challenges novice researchers. This study introduces RPML...
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A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper)
This position paper explores applying the Data, Information, Knowledge, Wisdom (DIKW) framework to Digital Twins of buildings and their energy...
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Enhancing Our Understanding of Business Process Model Comprehension Using Biometric Data
Much research has been done on the comprehension and development of conceptual models. In related areas such as linguistics and software engineering...