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Infinite impulse response (IIR) filters are often preferred to FIR filters for modeling because of their better performance and reduced number of coefficients. However, IIR model identification is a challenging and complex optimization problem due to multimodal error surface entanglement....
Formalization of human thinking helps in fostering the process of learning by giving an explicit representation to human thoughts. Formal Concept Analysis (FCA) finds it’s core here. It considers a “concept” as a formal unit of human thought. A concept is represented as a set of inter related...
Extreme learning machine (ELM) is a new learning algorithm for the single hidden layer feedforward neural networks. Compared with the conventional neural network learning algorithm it overcomes the slow training speed and over-fitting problems. ELM is based on empirical risk minimization theory...
Metalearning attracted considerable interest in the machine learning community in the last years. Yet, some disagreement remains on what does or what does not constitute a metalearning problem and in which contexts the term is used in. This survey aims at giving an all-encompassing overview of...
Data clustering is one of the most popular techniques in data mining. It is a process of partitioning an unlabeled dataset into groups, where each group contains objects which are similar to each other with respect to a certain similarity measure and different from those of other groups....
The Academic Scheduling Problems have drawn great interest from many researchers of various fields, such as operational research and artificial intelligence. Despite the long history of literature, the problem still remains as an interesting research topic as new and emerging metaheuristic...
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