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User Identification via Free Roaming Eye Tracking Data
Our highest accuracies are 87. 3% for FR and 89. 4% for TR.
Predicting Gender via Eye Movements
And second, we are able to provide a mean accuracy with a very low standard error (SEM): our accuracy is 65. 2 %, and the SEM is 0. 80 %; this is achieved through many runs of randomly selecting training and test sets for the prediction.
An Extensive Study of User Identification via Eye Movements across Multiple Datasets
Several studies have reported that biometric identification based on eye movement characteristics can be used for authentication.
Parsing Graphs with Regular Graph Grammars
Recently, several datasets have become available which represent natural language phenomena as graphs.
Multiple Context-Free Tree Grammars: Lexicalization and Characterization
Every multiple context-free tree grammar that is finitely ambiguous can be lexicalized; i. e., it can be transformed into an equivalent one (generating the same tree language) in which each rule of the grammar contains a lexical symbol.
