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Titlebook: Meta-Learning in Decision Tree Induction; Krzysztof Grąbczewski Book 2014 Springer International Publishing Switzerland 2014 Computational

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Krzysztof Grąbczewskiis an indivisible elementary particle. Single photons can be produced by spontaneous parametric down-conversion. This is an optical process that cannot by described using Maxwell’s equations. When a single photon is incident upon a beamsplitter, its wavefunction is separated spatially into two parts
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Krzysztof Grąbczewskimiles would take a quantum computer, the fastest possible computer, over (5,000!/(2**4,978 * 22!)) * 267,782 centuries. Clearly, the automated acquisition of heuristics and the associated P~NP solutions are an important problem warranting attention. Machine learning through self-randomization is dem
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Krzysztof Grąbczewskin a formal language with a precise semantics. Contracts expressed in such a language have a mathematically precise meaning and can be manipulated by software. The formal language thus provides a basis for integrating formal methods into contracts. This paper outlines ., a formal language with a prec
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Krzysztof Grąbczewskiheoretically and empirically. Even though there are mathematical differences between the second-order exponential models and multidimensional item response theory (MIRT) models, the SOE models behave very much like standard MIRT models and in some cases better than MIRT models.
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Krzysztof Grąbczewskiom the spin noise arising from fluctuations in the nuclear spin bath. Presented here is a series of experiments which probe the noise in advanced quantum dot devices: single quantum dot resonance fluorescence as a sensor of both charge noise and spin noise; nuclear magnetic resonance on the quantum
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om the spin noise arising from fluctuations in the nuclear spin bath. Presented here is a series of experiments which probe the noise in advanced quantum dot devices: single quantum dot resonance fluorescence as a sensor of both charge noise and spin noise; nuclear magnetic resonance on the quantum
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