Titlebook: Efficient Learning Machines; Theories, Concepts, Mariette Awad,Rahul Khanna Book‘‘‘‘‘‘‘‘ 2015 The Editor(s) (if applicable) and The Author

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Ueber den remanenten Magnetismus,tive optimization can also be explained as a multicriteria decision-making process, in which multiple objective functions have to be optimized simultaneously. In many cases, optimal decisions may require tradeoffs between conflicting objectives. Traditional optimization schemes use a weight vector t

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Grundlagen der Energieversorgung,asks. Machine learning exploits the power of generalization, which is an inherent and essential component of concept formation through human learning. The learning process constructs a that is hardened by critical feedback to improve performance. The knowledge base system gathers a collection of fac

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https://doi.org/10.1007/978-3-8349-9793-7on. For example, ML systems can be trained on automatic speech recognition systems (such as iPhone’s Siri) to convert acoustic information in a sequence of speech data into semantic structure expressed in the form of a string of words.

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Mariette Awad,Rahul KhannaEfficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspi

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Bioinspired Computing: Swarm Intelligence,h heuristics define a ., in the form of a fitness function. This function describes the problem, evaluates the quality of its solution, and uses its . (such as crossover, mutation, and splicing) to generate a new set of solutions.