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news:graph_transducer_networks_explained [2015/05/14 11:42] leonb |
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| ====== Graph Transducer Networks explained ====== | ====== Graph Transducer Networks explained ====== | ||
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| Although Graph Transformer Networks have been introduced twenty years ago, they are considerably more powerful than most structured output machine learning methods. Not only do they handle the label bias problem as well as CRFs, but their hierarchical and modular structure lends itself to many refinements: | Although Graph Transformer Networks have been introduced twenty years ago, they are considerably more powerful than most structured output machine learning methods. Not only do they handle the label bias problem as well as CRFs, but their hierarchical and modular structure lends itself to many refinements: | ||