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The prototype environment, GBMS, is described, and some examples are used to illustrate the applicability of this approach to management science modeling.doi:10.1109/hicss.1990.205376JonesC.System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on...
ckpt = tf.train.get_checkpoint_state(model_dir)print"model dir: ", model_dirif(not(tf.gfile.IsDirectory(utility.FLAGS.output_dir))):print"create dir: ", utility.FLAGS.output_dir tf.gfile.MkDir(utility.FLAGS.output_dir)if(not(tf.gfile.IsDirectory(model_dir))):print"create dir: ", mo...
The graph data model is often referred to as beingwhiteboard-friendly. Typically, when designing a data model, people draw example data on the whiteboard and connect it to other data drawn to show how different items connect. The whiteboard model is then re-formatted and structured to fit norm...
Website|A Blitz Introduction to DGL| Documentation (Latest|Official Examples|Discussion Forum|Slack Channel DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end...
This section shows what it looks like to create digital twins and relationships from a client application. It contains.NET SDKexamples that use theDigitalTwins APIs, to provide more context on what goes on inside each of these concepts.
Parsing speech to determine what is the most likely sequence of words that matches a given set of sounds. Analyzing the way different parts of a complex software program interact in order to proactively find and remove bugs. Examples of data well-suited to Graphs are road networks, communication...
Hence several existing works on generating graph representations of molecules (see the Supplementary Discussion section of the Supplementary Information for more examples) directly model the joint distribution p(G) or incorporate additional objectives that can be used with a variety of models. Here, we...
in the envelope can be set at 0.95 by analogy with confidence limits. This method is demonstrated on two examples from different models, and it can be extended to other forms of validation data. Although statistical tests are not involved, which avoids the problem of satisfying assumptions, ...
Demand schedules also face the risk ofobsolescenceand being outdated if they are not periodically reviewed. For example, consider the latest iPhone model and the potential demand schedule for the good. Upon the announcement of the next iPhone model, there may be immediate implications to the demand...