We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulti...
We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based on word information are inve...
Matthias Zimmermann, Yang Liu, Elizabeth Shriberg,...
This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application. The agent incorporates a Case-based reaso...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...