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Found 5 papers, 2 papers with code
A logical word embedding for learning grammar
We introduce the logical grammar emdebbing (LGE), a model inspired by pregroup grammars and categorial grammars to enable unsupervised inference of lexical categories and syntactic rules from a corpus of text.
A transparent approach to data representation
We use a binary attribute representation (BAR) model to describe a data set of Netflix viewers' ratings of movies.
Solving a directed percolation inverse problem
We present a directed percolation inverse problem for diode networks: Given information about which pairs of nodes allow current to percolate from one to the other, can one find a configuration of diodes consistent with the observed currents?
Learning grammar with a divide-and-concur neural network
We implement a divide-and-concur iterative projection approach to context-free grammar inference.
Avoiding Traps in Nonconvex Problems
Iterative projection methods may become trapped at non-solutions when the constraint sets are nonconvex.
