An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Creating a system that is fit for its intended purpose requires an understanding of how the technology works, its ...
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As we explored in Chapter 1, BERT, a well-known encoder-only architecture, is a popular choice for creating task-specific and embedding models. While generative models, like the GPT family, are incredible models, encoder-only models similarly excel in task-specific use cases and tend to be ...
A simple approach, and one used by the example program, is to limit training to a fixed number of iterations. In most cases, a much better tactic to avoid over-fitting is to split the source data set into train-validate-test sets. Typically these three data sets use 60 perc...
Random forest, kNN, and neural network can perform binary, multiclass, or multilabel classification. For purpose of generating multilabel segmentation of an SEM image, we use random forest to generate four probability values that indicate the probability of a pixel to be one of the four rock ...
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost (IJCAI 2020) Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet [Paper] Speeding up Very Fast Decision Tree with Low Computational Cost (IJCAI 2020) Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Ha...
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We use the symbol (\\) to clarify that a qubit is not affected by a particular unitary and is traced out. Full size image A tensor-network quantum circuit is based on the shape and connectivity of its parent tensor network, for example, an MPS or TTN architecture, and not necessarily ...
If you refer to Figure 1, you’ll see that the count of training cases in which the person has occupation = construction and sex = female is 0. In the demo, the X values are (education, right, tall), which doesn’t include construction. But suppose X had been (construction, right,...
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