This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual...
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
Abstract—This paper addresses combinatorial optimization schemes for solving the multicriteria Steiner tree problem for communication network topology design (e.g., wireless mesh...
Although skip lists were introduced as an alternative to balanced binary search trees (BSTs), we show that the skip list can be interpreted as a type of randomly-balanced BST whos...