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State-of-the-art deep neural networks (DNNs) have hundreds of millions of connections and are both computationally and memory… Expand The choice of approximate posterior distribution is one of the core problems in variational inference. Most applications of… Expand The large amount of Semantic Web data and its fast growth pose a significant computational challenge in performing efficient and… Expand This inference engines are an integral part of semantic data stores. In this paper, we describe our experience of implementing a… Expand In this paper, a rule-based rough-set decision system for the development of a disease inference engine is described. For this… Expand This paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neural-fuzzy inference system (DENFIS… Expand The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the… Expand Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of… Expand The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a… Expand Introduction.- Asymptotic Inference for (Finite-Dimensional) Parametric Models.- Information Bounds for Euclidean Parameters in… Expand