We present a recursion scheme based on attribute grammars that can be transparently applied to trees and acyclic graphs. Our recur-sion scheme allows the programmer to implement a tree traversal and then apply it to compact graph representations of trees instead. The resulting graph traversals avoid recomputation of intermediate results for shared nodes – even if intermediate results are used in different contexts. Consequently, this approach leads to asymptotic speedup proportional to the compression provided by the graph rep-resentation. In general, however, this sharing of intermediate results is not sound. Therefore, we complement our implementation of the recursion scheme with a number of correspondence theorems that ensure soundness f...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Article dans revue scientifique avec comité de lecture.A new algorithm for compressing labelled tree...
AbstractIn this paper, we study tree automata for directed acyclic graphs (DAGs). We define the move...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Article dans revue scientifique avec comité de lecture.A new algorithm for compressing labelled tree...
AbstractIn this paper, we study tree automata for directed acyclic graphs (DAGs). We define the move...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
We present a recursion scheme based on attribute grammars that can be transparently applied to trees...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a new connectionist model particularly tailored to process Directed Po...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Article dans revue scientifique avec comité de lecture.A new algorithm for compressing labelled tree...
AbstractIn this paper, we study tree automata for directed acyclic graphs (DAGs). We define the move...