Difficult real-time AI problems require a means for expressing multi-dimensional and dynamic goal criteria and a principled model for satisficing to best meet the criteria. In the...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
This paper presents a new approach to the task of passive protocol tracing. The method called FollowSM for the first time meets all requirements of practical in-field use, inclu...
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
In this paper we describe Tokyo Institute of Technology’s attempt at the TREC2007 question answering (QA) track. Keeping the same theoretical QA model as for the TREC2006 task, ...
Edward W. D. Whittaker, Matthias H. Heie, Josef R....