In black cherry (Prunus serotina Ehrh.) macerates, the cyanogenic diglucoside (R)-amygdalin undergoes stepwise degradation to HCN catalyzed by amygdalin hydrolase (AH), prunasin hydrolase, and (R)-(+)-mandelonitrile lyase (MDL). A near full-length AH cDNA clone (pAH1), whose insert encodes the isozyme AH I, has been isolated and sequenced. AH I exhibits several features characteristic of beta-g...

The capacity in space division multiplexing (SDM) systems with coupled channels is fundamentally limited by mode-dependent loss (MDL) and gain (MDG) generated components amplifiers. In these systems, MDL/MDG must be accurately estimated for performance analysis troubleshooting. Most recent demonstrations of SDM perform estimation digital signal processing (DSP) techniques based on the coefficie...

The Minimum Description Length (MDL) principle provides guidance to the fundamental question of determining what a given set of observed data tells us about the underlying data generating machinery. Hence, in the broadest sense the MDL principle relates to the central question of all science, although its most useful applications have been to the more practical problem of tting statistical mode...

We extend Bayesian MAP and Minimum Description Length (MDL) learning by testing whether the data can be substantially more compressed by a mixture of the MDL/MAP distribution with another element of the model, and adjusting the learning rate if this is the case. While standard Bayes and MDL can fail to converge if the model is wrong, the resulting “safe” estimator continues to achieve good rate...

B. Tirimula Rao Senior. Assistant professor, Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences, Sangivalasa, Bheemili Mdl, Visakhapatnam -531 162 B. Sameet, G. Kiran Swathi, K. Vikram Gupta, Ch. RaviTeja, S.Sumana Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences, Sangivalasa, Bheemili Mdl, Visak...

This paper extends the work in [Suzuki, 1996] and presents an efficient depth-first branch­ and-bound algorithm for learning Bayesian network structures, based on the minimum description length (MDL) principle, for a given (consistent) variable ordering. The algorithm exhaustively searches through all network structures and guarantees to find the network with the best MDL score. Prelimi­ nary e...

This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size from 5,000 words to 500,000 words. We develop a set of heuristics that rapidly develop a probabilistic morphological grammar, and use MDL as our primary tool to determine whether themodiŽcations pr...

The combination of rules and ontologies has been a fertile topic of research in the last years, with the proposal of several different systems that achieve this goal. In this paper, we look at two of these formalisms, Mdl-programs and multi-context systems, which address different aspects of this combination, and include different, incomparable programming constructs. Despite this, we show that...

The famous van Benthem theorem states that modal logic corresponds exactly to the fragment of first-order logic that is invariant under bisimulation. In this article we prove an exact analogue of this theorem in the framework of modal dependence logic MDL and team semantics. We show that modal team logic MTL, extending MDL by classical negation, captures exactly the FO-definable bisimulation in...

The trade-off in designing merged DRAM logic (MDL) is explored for video signal processing. Computing requirements and memory bandwidths are quantitatively analyzed in the programmable MDL architecture. The number of processing elements (NPE) and the number of bus width (NBW) are obtained as a function of macro block rate, clock frequency, data rate, and number of clock/memory access cycles. Op...