Efficient SAS® Programming TechniquesAs SAS(R) Software becomes increasingly more popular, guidelines for its efficient use are critical. Areas deserving special consideration include program execution, I/O, disk space, and program maintenance. A collection of techniques and sample code are presented...
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(HAT) via the use of neural architecture search techniques such as9,10,11. To be more precise, a SuperTransformer is trained to estimate its performance without completely training it. This model encompasses the largest model feasible in the search space while sharing weights across common parts....
To facilitate the effective visualization of multi-set intersections, we proposed two simple presentation techniques, a circular plot (Fig. 1) and a matrix plot (Fig. 2). In both plots, the configurations of multi-set intersections are plotted in a well-organized array of blocks with binary s...
Terrier follows a plugin architecture, and is easy to extend to develop new retrieval techniques, add new ranking features or experiment with low-level functionality such as index compression. It’s written in the Java programming language, and therefore runs on all main operating systems. ...
skipgram — An abstract pattern of predetermined length with one or multiple gaps (of specific size). flexgram — An abstract pattern with one or more gaps of variable-size. Colibri Core provides memory-based techniques where models are held entirely in memory to guarantee maximum performance on...
Sassano Models and solution techniques for frequency assignment problems Annals of Operations Research, 153 (2007), pp. 79-129 CrossrefView in ScopusGoogle Scholar [2] S. Bernard, S. Devismes, K. Paroux, M. Potop-Butucaru, S. Tixeuil Probabilistic self-stabilizing vertex coloring in ...
The analysis was done in JMP Pro 15.1.0 (SAS Institute, Cary, NC, USA). In all tests, differences were considered significant at p <0.05. Code availability The in-house mammalian PAM screening MakeRGS and PAMheatmap utilities and their C++ source code are available upon request. Data ...
For trellis codes, generating function techniques provide the distance spectrum and a union bound on bit-error rate. The computation of the generating function of a trellis code may be separated into two stages. The first stage reduces the number of states as much as possible using low-complexit...
In system toxicology, machine learning techniques and methodologies are applied to develop prediction models for classification of toxicant exposure of biological systems. Gene expression data (RNA/DNA microarray) are often used to develop such prediction models. Results The outcome of the present work ...