This paper presents proposals of certain extensions to the XTT knowledge representation model, a method of tabular specification for rule-based systems. The extensions concern
We present a Bayesian blackboard system for temporal perception, applied to a minidomain task in musical scene analysis. It is similar to the classic Copycat architecture (Hofstad...
When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among thes...
Ping Chen, Rakesh M. Verma, Janet C. Meininger, We...
We address the problem of computing an optimal value function for Markov decision processes. Since finding this function quickly and accurately requires substantial computation ef...
This paper describes a heuristics-based system for automatic measurement of syntactic complexity using the revised Developmental Level (D-Level) Scale (Rosenberg and Abbeduto, 198...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...