Maik Riechert

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We present theoretical foundations, and a practical implementation, that makes the method of Algebraic Dynamic Programming available for Multiple ContextFree Grammars. This allows to formulate optimization problems, where the search space can be described by such grammars, in a concise manner and solutions may be obtained efficiently. This improves on the(More)
The degree of binding of 3,3′-dimethyl-4,4′-diacetyl-diphenylbisguanylhydrazonedinitrate (BG 60) and of progesterone bisguanylhydrazonedichloride (BG 31) to ribonucleic acid (RNA) was determined by means of equilibrium dialysis and by gel filtration on Sephadex® columns. The interaction of BG 60 and BG 31 and RNA is described by the proportion of the drug(More)
Many kinds of scientific data, including satellite imagery, climate simulations and sensor data, can be represented as coverages, which are essentially mappings from points in space and time to data values. Coverage data are typically encoded as multidimensional arrays in compact binary forms such as NetCDF, HDF and GeoTIFF, most of which require specialist(More)
New types of machine learning hardware in development and entering the market hold the promise of revolutionizing deep learning in a manner as profound as GPUs. However, existing software frameworks and training algorithms for deep learning have yet to evolve to fully leverage the capability of the new wave of silicon. We already see the limitations of(More)