Titlebook: Advances in Machine Learning and Data Science; Recent Achievements Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu Conference proceedin

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M. Yamashita,H. Ishihara,T. Oyamachine intelligence that can help to diagnose in advance so that doctors start the treatment faster and save time. The machine intelligence is a way to predict the liver-related problems; in this study, the linear regression is used to predict the same, more accurately. The albumin levels are highly

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R. Lemke,D. Klaus,D. W. Lübbersf features that are frequently found together in a same location is called co-location pattern discovery. Earlier methods to find co-location patterns focuses on converting neighbourhood relations to item sets. Once item sets are obtained then can apply any method for finding patterns. The criteria

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Monitors in Closed-Circuit Anaesthesia layer of RBFNN grows on par with the growing dataset size. This results in increase in network complexity, training time, and testing times. It is desirable to design appropriate RBFNN which balance between simplicity and accuracy. In the literature, many approaches are proposed for reducing the ne

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https://doi.org/10.1007/978-3-642-71328-6nditional random fields (CRF). Keyphrase is a word or set of words that describe the close relationship of content and context in particular documents (Sharan, International conference on advances in computing communications and informatics (ICACCI), 2014) [.]. Keyphrases may be the topics of the do

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On-Line Estimation of Cerebral Oxygenationfor three different types of configurations at two, four, five, and six NPRs. The results are captured and compared to one another. The rectangular crosswire is used as a passive control and tested at Mach number of two. The crosswire running along the major axis of the elliptical jet exits. The pit

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Seth C. Anderson,Jeffery A. Bornimized through the incorporation of regularization to gain convenient results, and the Tikhonov regularization is frequently used. Regularization benefits in improving the generalized performance than traditional ELM. The estimation of regularization parameter mainly follows heuristic approaches or

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Exchange-Traded Funds: Issues and Studies,r opponents. As this interdependence continues to grow in scope, the need to devise an efficient security solution has become challenging to the security researchers and practitioners. We aim to explore the potential applicability of game theory to model the strategic interactions between these agen

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https://doi.org/10.1007/978-1-4419-0168-2 explicitly programmed as most of the technological systems are in an insurrection to be operated by intelligent machines capable to make the human like verdict to automatically solve human task with perfect results. Artificial intelligence is the heart of every major technological system in the wor